13 Architect jobs in Cognizant

**Job Summary**
Seeking a senior AWS Data Engineer with 7 to 10 years of experience.
**Responsibilities**
AWS Data Engineer Skillset
Claude code is a required skill - Should have at least completed trainings
A. Core AWS Data Engineering - Required
Strong experience building pipelines using
+ AWS Glue or Lambda PySpark or Python for batch and micro-batch processing
+ Medallion architecture implementation - Bronze or Silver or Gold layers
+ Amazon S3 data lake design for raw curated and certified zones
+ Amazon Athena for analytical querying and cost aware access patterns
+ Apache Iceberg table design partitioning and maintenance
+ Snapshot management and time travel usage in Iceberg
+ Amazon Redshift for high concurrency and analytical workloads
+ Amazon RDS - approved engines for operational and serving data stores
B. Pipeline Orchestration and Eventing - Required
+ Workflow orchestration using AWS Step Functions
+ Event-driven ingestion using Amazon EventBridge
+ AWS Lambda for lightweight processing and control plane logic
+ AWS Fargate and approved container platforms for scalable execution
+ Coordination of batch micro batch and event driven pipelines
+ Error handling retries and compensating actions
+ State management for long running and multi stage workflows
C. Data Reliability and Operational Readiness -Required
+ Design of idempotent restartable pipelines
+ Backfill and reprocessing strategies
+ Definition and monitoring of pipeline SLAs or SLOs
+ Integration with enterprise monitoring and alerting tools
D. Cost and Performance Engineering - Strongly Preferred
+ Athena or RDS or Redshift query optimization and cost management
+ Glue job sizing tuning and cost controls
+ Lambda execution optimization memory duration invocation patterns
+ Cost efficient use of Fargate and containerized workloads
+ S3 storage optimization across Bronze or Silver or Gold layers
+ Awareness of end to end AWS cost tradeoffs across storage compute and orchestration
**Certifications Required**
AWS Certification preferred.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

**Job Summary**
Architect role for a hybrid work model in a global organization focusing on end to end data engineering and analytics solutions using Python and AWS Glue stack for a Property and Casualty insurance portfolio. The architect will design secure scalable and cost efficient data platforms on Amazon S3 that power underwriting claims and pricing insights while collaborating with cross functional business and technology teams.
**Responsibilities**
+ Design and architect robust data ingestion and transformation workflows using AWS Glue AWS Glue Studio and AWS Glue ETL to support end to end Property and Casualty insurance analytics use cases
+ Develop and maintain reusable Python frameworks for data processing quality checks and error handling to ensure reliable and traceable insurance data pipelines
+ Implement optimized data models and partition strategies on Amazon S3 to support fast retrieval for actuarial analysis underwriting decisions and portfolio management reporting
+ Define and enforce coding standards data naming conventions and metadata practices to maintain consistency across insurance products policy data claims data and external data sources
+ Collaborate with underwriters claims specialists and business analysts to translate insurance domain requirements into technical data solutions that are scalable secure and easily maintainable
+ Coordinate with cloud infrastructure teams to define security controls encryption approaches and access patterns that protect sensitive insurance customer information
+ Evaluate performance of existing ETL jobs optimize Glue job configurations and refine Python code to reduce processing time and cost while maintaining high reliability
+ Create detailed solution design documents data flow diagrams and data dictionaries that clearly describe the architecture for both technical and non technical stakeholders
+ Guide development teams on best practices for using AWS Glue Amazon S3 and related AWS services to build resilient and observable data pipelines for insurance datasets
+ Implement monitoring logging and alerting for critical ETL workloads so that data quality incidents and operational issues are detected and resolved quickly
+ Coordinate integration of third party data sources such as risk scores weather data and geospatial data to enrich Property and Casualty insurance analytics solutions
+ Support testing cycles by defining test data sets validating end to end data flows and confirming that outputs align with expected insurance business metrics
+ Drive continuous improvement by analyzing usage patterns gathering feedback from stakeholders and enhancing data products that deliver measurable impact on loss ratios and customer experience
**Qualifications**
+ Possess extensive hands on experience in architecting and developing Python based data solutions with a focus on performance modularity and clear error handling
+ Demonstrate deep practical expertise with AWS Glue AWS Glue Studio and AWS Glue ETL including job orchestration catalog management and schema evolution
+ Show advanced knowledge of Amazon S3 including data organization strategies lifecycle policies and integration with analytics and machine learning services
+ Bring strong Property and Casualty insurance domain understanding covering policy lifecycle claims processing rating underwriting and regulatory reporting needs
+ Apply knowledge of data warehousing and lakehouse patterns to design scalable data platforms that support reporting self service analytics and downstream applications
+ Exhibit proficiency in working within hybrid work models using digital collaboration tools to interact effectively with distributed business and technology teams
+ Display solid experience in requirements analysis solution design documentation and presentation of architecture decisions to both technical and non technical stakeholders
+ Demonstrate familiarity with data quality frameworks data governance concepts and methods to implement controls that improve trust in key insurance data assets
**Certifications Required**
Good to have AWS Certified Data Analytics AWS Certified Solutions Architect Associate or Professional certification in Property and Casualty insurance data or analytics is preferred
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

**Job Summary**
Sr. Data Engineer role in a global organization focused on designing and optimizing data and analytics platforms using Python Snowflake Cortex and Snowflake SQL within a hybrid work environment. Has handson experiecne in working in GCP Cloud. Role spans end to end solution architecture performance engineering data governance and collaboration with product and business partners to deliver reliable secure and scalable data products that drive measurable business and societal impact.
**Responsibilities**
+ Design end to end data platform architectures that leverage Python Snowflake Cortex and Snowflake SQL to deliver secure scalable and maintainable analytics solutions aligned to enterprise standards and long term product vision.
+ Define target state data models and integration patterns in Snowflake that enable efficient analytics reporting and machine learning workloads while optimizing storage query performance and cost.
+ Develop reference implementations and reusable solution patterns using Python and Snowflake features that help engineering teams deliver consistent high quality data products at speed.
+ Collaborate closely with product owners and business stakeholders to translate complex analytical and reporting needs into clear technical architectures and implementation roadmaps.
+ Guide engineering teams on best practices for coding testing deployment and observability of Python based data pipelines and Snowflake workloads to ensure reliability and maintainability.
+ Review solution designs database schemas and query strategies to identify performance bottlenecks and recommend concrete improvements that enhance responsiveness and user experience.
+ Establish governance standards for data quality security access control and lineage within Snowflake to protect sensitive information and support regulatory and compliance expectations.
+ Evaluate new Snowflake Cortex capabilities and related ecosystem tools assess their fitness for purpose and propose pragmatic adoption paths that maximize value for the organization.
+ Create clear technical documentation solution diagrams and implementation guidelines that make it easy for engineering and analytics teams to understand adopt and extend the designed architectures.
+ Partner with enterprise architecture security and infrastructure teams to ensure that data solutions align with broader architectural principles security policies and operational resilience goals.
+ Support incident resolution and root cause analysis for complex data and analytics issues by providing architectural insights technical guidance and actionable recommendations.
+ Mentor engineers and data professionals on modern data architecture concepts Snowflake optimization techniques and Python development standards to uplift overall team capability.
+ Champion responsible and ethical data usage by promoting privacy aware designs and transparent data practices that enhance trust with customers and communities.
**Qualifications**
+ Demonstrate ten to fourteen years of experience in designing and implementing data or analytics solutions with a strong focus on building robust and scalable architectures.
+ Show deep hands on proficiency in Python for data processing orchestration and integration including the use of relevant libraries and frameworks for production ready solutions.
+ Exhibit advanced practical experience with Snowflake SQL for data modeling query tuning and implementing complex transformations that meet stringent performance expectations.
+ Possess working experience with Snowflake Cortex capabilities or closely related Snowflake native services used to enable intelligent and automated analytics workflows.
+ Bring solid understanding of data warehousing dimensional modeling and modern data platform concepts including separation of storage and compute workload isolation and cost optimization.
+ Apply strong skills in designing secure data architectures that incorporate role based access encryption practices and governance controls suitable for an enterprise context.
+ Communicate effectively with technical and non technical partners using clear language and structured artifacts to align expectations and enable smooth solution delivery.
+ Work comfortably in a hybrid work model by using collaboration tools documentation and structured communication practices to maintain transparency and productivity across locations.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

**Job Summary**
Sr. Data Engineer role in a global organization focused on designing and optimizing data and analytics platforms using Python Snowflake Cortex and Snowflake SQL within a hybrid work environment. Has handson experiecne in working in GCP Cloud. Role spans end to end solution architecture performance engineering data governance and collaboration with product and business partners to deliver reliable secure and scalable data products that drive measurable business and societal impact.
**Responsibilities**
+ Design end to end data platform architectures that leverage Python Snowflake Cortex and Snowflake SQL to deliver secure scalable and maintainable analytics solutions aligned to enterprise standards and long term product vision.
+ Define target state data models and integration patterns in Snowflake that enable efficient analytics reporting and machine learning workloads while optimizing storage query performance and cost.
+ Develop reference implementations and reusable solution patterns using Python and Snowflake features that help engineering teams deliver consistent high quality data products at speed.
+ Collaborate closely with product owners and business stakeholders to translate complex analytical and reporting needs into clear technical architectures and implementation roadmaps.
+ Guide engineering teams on best practices for coding testing deployment and observability of Python based data pipelines and Snowflake workloads to ensure reliability and maintainability.
+ Review solution designs database schemas and query strategies to identify performance bottlenecks and recommend concrete improvements that enhance responsiveness and user experience.
+ Establish governance standards for data quality security access control and lineage within Snowflake to protect sensitive information and support regulatory and compliance expectations.
+ Evaluate new Snowflake Cortex capabilities and related ecosystem tools assess their fitness for purpose and propose pragmatic adoption paths that maximize value for the organization.
+ Create clear technical documentation solution diagrams and implementation guidelines that make it easy for engineering and analytics teams to understand adopt and extend the designed architectures.
+ Partner with enterprise architecture security and infrastructure teams to ensure that data solutions align with broader architectural principles security policies and operational resilience goals.
+ Support incident resolution and root cause analysis for complex data and analytics issues by providing architectural insights technical guidance and actionable recommendations.
+ Mentor engineers and data professionals on modern data architecture concepts Snowflake optimization techniques and Python development standards to uplift overall team capability.
+ Champion responsible and ethical data usage by promoting privacy aware designs and transparent data practices that enhance trust with customers and communities.
**Qualifications**
+ Demonstrate ten to fourteen years of experience in designing and implementing data or analytics solutions with a strong focus on building robust and scalable architectures.
+ Show deep hands on proficiency in Python for data processing orchestration and integration including the use of relevant libraries and frameworks for production ready solutions.
+ Exhibit advanced practical experience with Snowflake SQL for data modeling query tuning and implementing complex transformations that meet stringent performance expectations.
+ Possess working experience with Snowflake Cortex capabilities or closely related Snowflake native services used to enable intelligent and automated analytics workflows.
+ Bring solid understanding of data warehousing dimensional modeling and modern data platform concepts including separation of storage and compute workload isolation and cost optimization.
+ Apply strong skills in designing secure data architectures that incorporate role based access encryption practices and governance controls suitable for an enterprise context.
+ Communicate effectively with technical and non technical partners using clear language and structured artifacts to align expectations and enable smooth solution delivery.
+ Work comfortably in a hybrid work model by using collaboration tools documentation and structured communication practices to maintain transparency and productivity across locations.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

**Job Summary**
We are seeking an experienced Architect with 9 to 12 years of expertise in DevOps Maven Spring Boot GIT and Core Java along with a strong background in the Cards and Payments domain. The role involves designing scalable solutions optimizing workflows and ensuring seamless integration in a hybrid work model during day shifts.
**Responsibilities**
+ Design and implement scalable and efficient architecture solutions tailored to the Cards and Payments domain ensuring alignment with business objectives.
+ Collaborate with cross-functional teams to analyze requirements and translate them into technical specifications and actionable plans.
+ Develop and maintain robust systems using Core Java Spring Boot and Maven ensuring high performance and reliability.
+ Oversee the integration of DevOps practices to streamline development deployment and monitoring processes.
+ Manage version control and code repositories using GIT ensuring consistency and traceability across development cycles.
+ Provide technical guidance and mentorship to team members fostering a culture of continuous learning and improvement.
+ Conduct thorough testing and validation of systems to ensure compliance with industry standards and security protocols.
+ Optimize workflows and processes to enhance operational efficiency and reduce development cycle times.
+ Collaborate with stakeholders to identify opportunities for innovation and improvement within the Cards and Payments domain.
+ Monitor system performance and proactively address issues to minimize downtime and ensure seamless user experiences.
+ Document architectural designs workflows and processes to maintain transparency and facilitate knowledge sharing.
+ Stay updated with the latest trends and technologies in DevOps Java frameworks and the Cards and Payments industry to drive innovation.
+ Ensure all solutions are compliant with regulatory requirements and industry best practices. Qualifications
+ Possess strong expertise in DevOps practices including CI/CD pipelines and automation tools.
+ Demonstrate proficiency in Core Java and Spring Boot for developing robust and scalable applications.
+ Have hands-on experience with Maven for dependency management and build automation.
+ Showcase advanced skills in GIT for version control and collaborative development.
+ Exhibit deep knowledge of the Cards and Payments domain including transaction processing and security standards.
+ Display excellent problem-solving abilities and a proactive approach to identifying and addressing challenges.
+ Hold a proven track record of delivering high-quality solutions in a hybrid work model.
+ Possess strong communication skills to effectively collaborate with diverse teams and stakeholders.
+ Show adaptability to evolving technologies and industry demands ensuring continuous improvement.
+ Have a strong understanding of software development lifecycle and agile methodologies.
+ Demonstrate ability to work independently and manage multiple priorities effectively.
+ Exhibit a commitment to delivering impactful solutions that align with the companys purpose and societal impact.
+ Possess a detail-oriented mindset to ensure accuracy and quality in all deliverables.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

**Job Summary**
Architect role in a hybrid work model focusing on design and delivery of scalable enterprise applications using Core Java Spring Framework Spring Boot and Maven within the cards and payments domain. The architect will ensure robust solution design compliance with security and regulatory standards and seamless integration with complex payment ecosystems.
**Responsibilities**
+ Design end to end application architectures for cards and payments platforms that are secure scalable and optimized for high transaction volumes in a hybrid work environment.
+ Develop reference implementations using Core Java Spring Framework Spring Boot and Maven to demonstrate best practices for reusable components and modular services.
+ Guide solution design to ensure that card issuance authorization clearing and settlement flows are modeled with high reliability and compliance to industry regulations and company standards.
+ Collaborate with product managers and business stakeholders to translate cards and payments requirements into technical solutions that improve customer experience and operational efficiency.
+ Review application code and configuration for services built on Spring Boot and Maven to ensure strict adherence to coding guidelines performance targets and security baselines.
+ Optimize integration patterns for external payment networks and internal systems by defining clear contracts error handling strategies and monitoring approaches that reduce downtime.
+ Define non functional requirements for latency throughput resilience and observability and ensure these are met through thoughtful use of Core Java concurrency and Spring Framework features.
+ Coordinate with quality engineering teams to define test strategies including unit integration performance and regression tests that validate complex cards and payments scenarios.
+ Produce detailed architectural documentation and solution diagrams that clearly describe service boundaries data flows and deployment topologies for distributed applications.
+ Evaluate existing applications in the cards and payments portfolio to identify modernization opportunities that simplify maintenance and reduce long term technology risk.
+ Mentor developers and technical analysts by explaining architectural decisions reviewing designs and promoting continuous improvement in engineering practices and tools.
+ Engage with security and compliance teams to incorporate standards for encryption tokenization data privacy and auditability directly into the application architecture.
+ Partner with operations and site reliability teams to define deployment strategies capacity plans and monitoring dashboards that support stable day shift operations without travel requirements.
**Qualifications**
+ Demonstrate strong hands on expertise in Core Java with a solid understanding of object oriented design collections concurrency and performance tuning for enterprise scale systems.
+ Exhibit deep experience with Spring Framework and Spring Boot for building microservices dependency injection data access layers and robust application configuration.
+ Apply advanced proficiency with Maven for dependency management build automation and multi module project structures that support complex enterprise applications.
+ Show proven experience in cards and payments including transaction lifecycle messaging standards risk controls and integration with payment networks and internal banking systems.
+ Utilize experience of at least nine years in software architecture or senior engineering roles with a focus on end to end design and delivery of large scale platforms.
+ Demonstrate ability to work effectively in a hybrid work model by using collaborative tools documentation and clear communication to keep distributed teams aligned.
+ Leverage strong problem solving and analytical skills to investigate production incidents in cards and payments systems and drive sustainable architectural improvements.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

**Job Summary**
Architect role requiring 10 to 14 years of experience in designing and governing Databricks based data platforms using Unity Catalog Python Databricks SQL Delta Lake Workflows and PySpark with a strong focus on Property and Casualty Insurance analytics operating in a hybrid work model during day shifts with no travel requirements while ensuring secure and scalable data solutions.
**Responsibilities**
+ Design and implement scalable Databricks platforms that support complex analytics and reporting needs for Property and Casualty Insurance portfolios to improve underwriting and claims insights
+ Configure and administer Databricks Unity Catalog to provide consistent data governance access control and lineage across multiple workspaces and hybrid environments
+ Develop robust data ingestion and transformation pipelines using PySpark to integrate policy claims billing and external data sources into Delta Lake with high reliability
+ Author optimized Databricks SQL queries and data models that support actuarial analysis risk scoring pricing optimization and operational reporting for insurance stakeholders
+ Create and manage Databricks Workflows to orchestrate end to end batch and near real time data pipelines ensuring predictable execution and timely data availability
+ Build reusable Python utilities and frameworks for data validation monitoring error handling and performance tuning across the Databricks platform to enhance maintainability
+ Establish and document standards for Delta Lake design including table formats partitioning strategies schema evolution and data quality rules tailored to insurance data domains
+ Collaborate with cross functional teams including data engineers data scientists actuaries and product partners to translate insurance business requirements into technical Databricks solutions
+ Implement security and compliance controls in Databricks using Unity Catalog features to protect sensitive insurance data such as policyholder information and regulatory datasets
+ Perform performance optimization and cost management activities including cluster configuration job tuning and workload segregation to achieve efficient use of compute resources
+ Guide peers on best practices for Databricks CLI usage to automate deployments configuration management and environment setup in controlled and auditable ways
+ Create clear architecture diagrams runbooks and technical documentation to support operations support teams and future enhancements of the Databricks platform
+ Drive continuous improvement initiatives by analyzing platform metrics incident trends and user feedback to enhance reliability usability and business value of the data platform
**Qualifications**
+ Require extensive experience in Databricks Unity Catalog administration including access policies catalog structures and governance practices for enterprise environments
+ Require hands on proficiency with Databricks CLI Python and PySpark for building automated deployment scripts data pipelines and platform management utilities
+ Require strong experience with Databricks SQL and Delta Lake for designing high performance data models and queries that serve insurance analytics and reporting needs
+ Require proven background in Property and Casualty Insurance data domains covering policy claims exposure rating and regulatory reporting to ensure relevant solution design
+ Require experience operating in hybrid work environments and collaborating across distributed teams using modern communication and project tracking tools
+ Nice to have familiarity with cloud native services related to storage networking and identity that integrate with Databricks platforms in large multinational organizations
+ Nice to have exposure to data quality frameworks observability tools and metadata management solutions that complement Unity Catalog and enhance platform trust
**Certifications Required**
Good to have Databricks Certified Data Engineer Professional or equivalent Databricks Architect level certification is preferred
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

**Job Summary**
Join our dynamic team as an Architect where you will leverage your expertise in Power BI Python SQL and a good grip on Fabric to design and implement robust data models. Collaborate in a hybrid work environment to drive impactful insights and solutions for our organization.
**Responsibilities**
+ Develop and implement scalable data models to support business intelligence and analytics needs.
+ Python is Mandatory
+ Good to have Fabric Knowledge.
+ Design and optimize Power BI reports and dashboards to deliver actionable insights to stakeholders.
+ Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
+ Ensure data accuracy and integrity by performing thorough validation and testing of reports and models.
+ Utilize MS Excel for advanced data analysis and visualization to support decision-making processes.
+ Manage and maintain databases ensuring optimal performance and reliability for reporting purposes.
+ Write and optimize SQL queries to extract transform and load data efficiently.
+ Provide technical guidance and support to team members in the use of Power BI and related tools.
+ Conduct regular performance tuning and troubleshooting to enhance system efficiency.
+ Stay updated with the latest trends and advancements in data modeling and business intelligence tools.
+ Work in a hybrid model to ensure seamless collaboration and productivity across remote and on-site teams.
+ Contribute to the development of best practices and standards for data reporting and visualization.
+ Drive innovation by identifying opportunities to improve existing processes and tools. Qualifications
+ Possess strong expertise in Power BI Report Builder MS Power BI and MS Excel for data visualization and reporting.
+ Demonstrate proficiency in database management and SQL for efficient data extraction and manipulation.
+ Have a solid understanding of data models and their application in business intelligence solutions.
+ Exhibit excellent problem-solving skills and attention to detail in ensuring data accuracy and reliability.
+ Show ability to work collaboratively in a hybrid work environment while maintaining productivity.
+ Display effective communication skills to convey technical concepts to non-technical stakeholders.
+ Bring a minimum of 12 years of experience in relevant technical and domain skills with a maximum of 16 years.
+ Showcase adaptability to learn and implement new tools and technologies as required.
+ Demonstrate commitment to delivering high-quality solutions that align with organizational goals.
+ Possess a proactive approach to identifying and addressing challenges in data reporting and modeling.
+ Exhibit strong organizational skills to manage multiple tasks and priorities effectively.
+ Have a passion for leveraging data to drive impactful business decisions and societal benefits.
+ Maintain a focus on continuous improvement and innovation in business intelligence practices.
**Certifications Required**
+ Microsoft Certified: Power BI Data Analyst Associate
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

**Job Summary**
We are seeking an experienced Architect with 12 to 16 years of expertise in Functional Knowledge Data Visualization Python Data Modelling Azure Services and Data Integration. The role involves designing and implementing scalable solutions while ensuring seamless data access and integration. This hybrid position offers a dynamic work environment with a focus on innovation and collaboration.
**Responsibilities**
+ Design and implement scalable and efficient data architecture solutions to support business objectives and analytics needs.
+ Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
+ Develop and maintain data models that ensure data consistency accuracy and accessibility across systems.
+ Utilize Python to create scripts and workflows for data processing transformation and automation.
+ Leverage Azure Services to deploy manage and optimize cloud-based data solutions.
+ Oversee the integration of diverse data sources to ensure seamless access and usability for stakeholders.
+ Provide expertise in data visualization techniques to create insightful dashboards and reports.
+ Ensure compliance with data governance policies and security standards in all architectural designs.
+ Conduct performance tuning and optimization of data systems to enhance efficiency and scalability.
+ Stay updated with emerging technologies and trends to incorporate innovative solutions into the architecture.
+ Collaborate with stakeholders to identify opportunities for improving data accessibility and usability.
+ Document architectural designs workflows and processes to maintain transparency and facilitate knowledge sharing.
+ Mentor and guide team members on best practices in data architecture and integration.
**Qualifications**
+ Demonstrate advanced proficiency in Functional Knowledge to align technical solutions with business needs.
+ Showcase strong expertise in Data Visualization to create impactful and user-friendly dashboards.
+ Exhibit hands-on experience in Python for data processing and automation tasks.
+ Possess in-depth knowledge of Data Modelling to ensure data consistency and reliability.
+ Display proficiency in Azure Services for deploying and managing cloud-based solutions.
+ Highlight experience in Data Integration to ensure seamless access and usability of data across systems.
+ Have a proven track record of delivering scalable and efficient architectural solutions.
+ Show ability to collaborate effectively with cross-functional teams and stakeholders.
+ Demonstrate strong problem-solving skills to address complex data challenges.
+ Exhibit excellent communication skills to convey technical concepts to non-technical audiences.
+ Stay committed to continuous learning and adapting to new technologies and methodologies.
+ Maintain a focus on delivering solutions that drive business impact and societal benefits.
**Certifications Required**
+ Microsoft Certified: Azure Solutions Architect Expert Certified Data Management Professional (CDMP)
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.