223 Data Architect jobs in Hyderabad
GCP Big Data Architect
Posted today
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Job Description
As an Architect, you will analyze, architect, design, and actively develop cloud data warehouses, data lakes, and other cloud-based data solutions in GCP.#LI-UNPost
AWS Big Data Architect
Posted today
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Job Description
As an AWS Data Architect), you will analyze, architect, design, and actively develop cloud data warehouses, data lakes, and other cloud-based data solutions in AWS.Cloudera Hadoop Big data Architect
Posted today
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• Strong Experience with Apache Spark, Storm, Kafka is a must.
• Experience with Python, R, Pig, Hive, Kafka, Knox, Tomcat and Ambari
• Experience with MongoDB
• A minimum of 4 years working with HBase/Hive/MRV1/MRV2 is required.
• Experience in integrating heterogeneous applications is required.
• Experience working with the Systems Operation Department in resolving a variety of infrastructure issues
Big Data Solution Architect
Posted today
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Description
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are looking for Solution Architects for data-driven projects to join our Data Practice team in India. Together we design and drive lots of solutions that generate value from data, taking advantage of scalable platforms, cutting-edge technologies, and machine learning algorithms. We provide a solid architecture framework, educational programs, and a strong SA community to support our new Architects in a deep dive into the data domain.
#LI-DNI #REF-IN-WOMEN
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Data Architect
Posted 17 days ago
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Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
**Are you passionate about delivering exceptional service and revolutionizing the world of technology? We have an incredible opportunity for a talented individual to join our dynamic team as a Data Architect. In this customer-centric role, you will play a pivotal role in ensuring our customers receive top-notch service within a contractual framework.**
**As a visionary leader, you will inspire and guide our team of experts to deliver high-quality and reliable information technology services. Working closely with the latest systems, software products, and networked devices, you will align our solutions perfectly with our customers' evolving business needs. Your deep knowledge of the services we provide paired with your understanding of customer businesses, will enable you to propose and implement tailored solutions that exceed their expectations.**
**You will be an integrated part of our customer account structure, fostering strong relationships with our customers and collaborating closely with our Delivery Partner. Together, you will create an environment that promotes innovation, collaboration, and customer success. By owning the technical and managerial support for our field engineers, technicians, system administrators, subject matter experts, and product support personnel, you will empower them to deliver, manage, maintain, and deploy IT services effectively.**
**When it comes to troubleshooting incidents, problems, changes, and escalations, you will be at the forefront, providing swift support to fix any issues that may arise in malfunctioning services, operations, software, or equipment. Your expertise will be crucial in ensuring that our systems run smoothly, offering our customers a seamless experience.**
**As a Data Architect, you will have the unique opportunity to collaborate with internal stakeholders and client. Together, you will co-create, design, deploy, and maintain reliable, available, and future-proof systems and services. Your innovative ideas and leadership skills will play a vital role in shaping the technological landscape of our organization and the industry as a whole.**
**If you are ready to make an impact, drive customer success, and be at the forefront of technological advancements, this is the role for you. Join our team and be part of an exhilarating journey as we reshape the IT services landscape with creativity, passion, and excellence.**
**Your Future at Kyndryl**
**Kyndryl has a global footprint, which means that as a Data Architect at Kyndryl you will have opportunities to work on projects and collaborate with colleagues from around the world. This role is dynamic and influential - offering a wide range of professional and personal growth opportunities that you won't find anywhere else.**
**Who You Are**
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
We are seeking an experienced **Cloud Data Architect with strong expertise in Databricks** to lead and deliver end-to-end data architecture solutions across cloud-based delivery projects. The ideal candidate will have deep experience with cloud data ecosystems (Azure, AWS, or GCP), data engineering, and hands-on delivery using **Databricks for data transformation, advanced analytics, and AI/ML use cases** .
**Key Responsibilities:**
+ Own the architecture and design of modern data platforms using **Databricks** on cloud (Azure/AWS/GCP).
+ Develop scalable, high-performance **data lakehouse architectures** , incorporating Delta Lake and structured streaming.
+ Architect robust **data pipelines (ETL/ELT)** using PySpark, SparkSQL, and Databricks notebooks.
+ Work closely with business stakeholders, project managers, and engineering teams to understand data requirements and translate them into technical architecture.
+ Optimize data processing workflows for performance, scalability, and cost-efficiency.
+ Implement best practices around **data governance, security, lineage** , and **compliance** in cloud-native environments.
+ Enable analytics, BI, and ML initiatives by ensuring strong data foundations.
+ Provide technical leadership and mentor junior engineers and data modelers.
+ Drive innovation and continuously evaluate emerging technologies in the data and AI space.
**Required Skills & Experience:**
+ 10+ years of experience in data architecture, engineering, or analytics roles.
+ Strong hands-on experience with **Databricks** including **Delta Lake** , **Spark** , and **MLflow** .
+ Expertise in **cloud platforms** (preferably **Azure** , but AWS/GCP also considered) and **native cloud data services** like Azure Data Lake Storage, Synapse, AWS S3, Redshift, or GCP BigQuery.
+ Strong command of **SQL, PySpark, SparkSQL** , and distributed data processing.
+ Solid experience in **data modeling** (dimensional and normalized), metadata management, and data quality frameworks.
+ Strong understanding of **DevOps/DataOps** , CI/CD pipelines, and infrastructure-as-code (e.g., Terraform).
+ Experience implementing **data security, RBAC, and encryption** in cloud environments.
+ Excellent stakeholder communication, leadership, and documentation skills.
**Preferred Skills and Experience:**
+ Certification in **Databricks** (e.g., Databricks Certified Data Engineer Professional or Lakehouse Fundamentals).
+ Cloud certifications (Azure Solutions/Data Engineer, AWS Data Analytics, GCP Data Engineer).
+ Experience with **machine learning workflows** , **feature stores** , or **real-time analytics** .
+ Familiarity with **data cataloging tools** like Unity Catalog, Purview, or Collibra.
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Architect
Posted 2 days ago
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Job Description
Position Title: Data Architect
Location: Hyderabad
Employment Type: Full-Time
Mode: Work from Office
Working Shift: UK but might change based on business need
About the Role
We are looking for a hands-on Data Architect who can own the end-to-end data architecture strategy while also actively engage in the design, development, and optimization of our data ecosystem. This role demands deep technical expertise in data modeling, databases, cloud platforms, and integration frameworks, combined with the ability to mentor engineers and partner with stakeholders to ensure our data foundation supports business growth and innovation.
Key Responsibilities
Technical (70%)
- Design and build scalable and secure enterprise data architecture, including data lakes, warehouses, and real-time streaming solutions.
- Develop, optimize, and maintain data pipelines (ETL/ELT) for structured and unstructured data across multiple systems.
- Create and maintain conceptual, logical, and physical data models to ensure consistency, reuse, and governance.
- Optimize database performance (SQL/NoSQL) and implement partitioning, indexing, and query tuning strategies.
- Deploy and manage data solutions using cloud-native tools (AWS Glue, Redshift, Azure Synapse, GCP BigQuery, etc.).
- Implement data security frameworks (encryption, access control, GDPR, HIPAA compliance, etc.).
- Introduce and oversee metadata management, MDM, and data lineage tracking using industry-standard tools.
- Stay current with emerging technologies (e.g., AI/ML data pipelines, graph databases, lakehouse platforms).
Leadership & Strategic (30%)
- Serve as the data architecture authority, defining standards, frameworks, and best practices.
- Lead and mentor Data Engineers, BI Developers, and Analysts in architecture principles and implementation.
- Partner with Product, Engineering, and Business teams to translate requirements into data-driven solutions.
- Drive adoption of data governance and data quality frameworks across the organization.
- Provide technical leadership in solution design reviews, architecture boards, and strategic planning sessions.
- Evaluate vendor tools and make recommendations for long-term scalability and cost optimization.
Key Skills & Competencies
- Strong expertise in SQL, Python, or Scala for data processing and transformations.
- Proven experience with ETL/ELT frameworks (dbt, Informatica, Talend, Apache NiFi, Airflow).
- Hands-on experience with cloud data platforms (AWS: Redshift/Glue/Lake Formation; Azure: Synapse/Data Factory; GCP: BigQuery/Dataflow).
- Knowledge of real-time data streaming (Kafka, Kinesis, Spark Streaming).
- Strong foundation in data modeling (3NF, dimensional, star/snowflake schemas, data vault).
- Familiarity with DevOps for data (CI/CD pipelines, Infrastructure as Code, Terraform, Git).
- Knowledge of big data frameworks (Hadoop ecosystem, Spark).
- Understanding of data security, governance, and compliance frameworks.
- Strong communication skills with the ability to influence and guide technical and business teams.
Qualifications
- Bachelor’s/Master’s degree in Computer Science, Data Engineering, or related field.
- 8+ years of experience in data engineering/architecture roles with at least 3+ years as a Data Architect.
- Proven expertise in designing and implementing enterprise-scale, cloud-based data ecosystems.
- Relevant certifications preferred (AWS Certified Data Analytics, Google Professional Data Engineer, Azure Data Engineer Associate).
Data Architect
Posted 4 days ago
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Job Description
Data Architect
Experience Level: 12+ Years
Location: Hyderabad
Employment Type: Full-time
Position Overview
We are seeking a seasoned Data Architect to lead the design and evolution of our next-generation ETL platform supporting multiple products. You'll architect scalable data solutions processing millions of records across multi-tenant environments while ensuring data quality and governance.
Key Responsibilities
Platform Architecture & Design
- Design and optimize Databricks-based ETL architectures for enterprise-scale data processing
- Architect data warehouse solutions for multiple products
- Design metadata-driven ETL frameworks with configurable processing pipelines
Data Engineering Leadership
- Implement MPP architectures for high-volume data loads
- Create reusable ETL patterns and skeleton frameworks across product lines
- Architect Delta Lake and Redshift integration patterns for hybrid data storage
- Design data quality frameworks with automated validation and monitoring
Technical Strategy
- Define data modelling standards for dimensional and transactional data structures
- Architect region-specific deployment patterns (EMEA, Americas)
- Design secret management and connection pooling strategies
Governance & Quality
- Establish data lineage and audit trail architectures
- Design client data segregation and security models
- Implement comprehensive data quality dashboards and monitoring
- Create disaster recovery and data retention strategies
Required Qualifications
Technical Expertise
- 12+ years in data architecture with enterprise ETL platforms
- Expert-level experience with Databricks, Apache Spark, and PySpark
- Advanced knowledge of AWS services (S3, Redshift, IAM)
- Proficiency in Delta Lake, data lakehouse architectures
- Strong SQL optimization and database design skills
Platform Experience
- Hands-on experience with multi-tenant SaaS data architectures
- Knowledge of data quality frameworks and validation engines
- Experience with notebook-based orchestration and workflow management
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Data Architect
Posted 4 days ago
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Job Description
We’re looking for a skilled Data Architect.
Role Highlights:
Position: Data Architect
Experience: 6+ years
Location: Hyderabad-WFO
Notice Period: Immediate/7 days joiners mandate
Job Overview:
- Strong knowledge and skills in data automation technologies, such as Python, Cloud data pipelines, ETL/ELT, SQL, etc.
- Strong knowledge and skills in data management, data quality, and data governance.
- AWS / Azure / Snowflake / Data Bricks
Data Architect
Posted 18 days ago
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Job Description
We Are:
At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.
You Are:
As a Data Science Staff member located in Hyderabad, you are a visionary with a passion for data engineering and analytics. You thrive in dynamic environments and are motivated by the challenge of building robust data infrastructure. Your expertise in data modeling, algorithm development, and data pipeline construction is complemented by your ability to derive actionable insights from complex datasets. You possess a deep understanding of modern data stack tools and have hands-on experience with cloud data warehouses, transformation tools, and data ingestion technologies. Your technical acumen is matched by your ability to collaborate effectively with cross-functional teams, providing support and guidance to business users. You stay ahead of the curve by continuously exploring advancements in AI, Generative AI, and machine learning, seeking opportunities to integrate these innovations into your work. Your commitment to best practices in data management and your proficiency in various scripting languages and visualization tools make you an invaluable asset to our team.
What You’ll Be Doing:
- Building the data engineering and analytics infrastructure for our new Enterprise Data Platform using Snowflake and Fivetran.
- Leading the development of data models, algorithms, data pipelines, and insights to enable data-driven decision-making.
- Collaborating with team members to shape the design and direction of the data platform.
- Working end-to-end on data products, from problem understanding to developing data pipelines, dimensional data models, and visualizations.
- Providing support and advice to business users, including data preparation for predictive and prescriptive modeling.
- Ensuring consistency of processes and championing best practices in data management.
- Evaluating and recommending new data tools or processes.
- Designing, developing, and deploying scalable AI/Generative AI and machine learning models as needed.
- Providing day-to-day production support to internal business unit customers, implementing enhancements and resolving defects.
- Maintaining awareness of emerging trends in AI, Generative AI, and machine learning to enhance existing systems and develop innovative solutions.
The Impact You Will Have:
- Driving the development of a cutting-edge data platform that supports enterprise-wide data initiatives.
- Enabling data-driven decision-making across the organization through robust data models and insights.
- Enhancing the efficiency and effectiveness of data management processes.
- Supporting business users in leveraging data for predictive and prescriptive analytics.
- Innovating and integrating advanced AI and machine learning solutions to solve complex business challenges.
- Contributing to the overall success of Synopsys by ensuring high-quality data infrastructure and analytics capabilities.
What You’ll Need:
- BS with 5+ years of relevant experience or MS with 3+ years of relevant experience in Computer Sciences, Mathematics, Engineering, or MIS.
- 5 years of experience in DW/BI development, reporting, and analytics roles, working with business and key stakeholders.
- Advanced knowledge of Data Warehousing, SQL, ETL/ELT, dimensional modeling, and databases (e.g., mySQL, Postgres, HANA).
- Hands-on experience with modern data stack tools, including cloud data warehouses (Snowflake), transformation tools (dbt), and cloud providers (Azure, AWS).
- Experience with data ingestion tools (e.g., Fivetran, HVR, Airbyte), CI/CD (GitLab, Kubernetes, Airflow), and data catalog tools (e.g., Datahub, Atlan) is a plus.
- Proficiency in scripting languages like Python, Unix, SQL, Scala, and Java for data extraction and exploration.
- Experience with visualization tools like Tableau and PowerBI is a plus.
- Knowledge of machine learning frameworks and libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch) and LLM models is a plus.
- Understanding of data governance, data integrity, and data quality best practices.
- Experience with agile development methodologies and change control processes.
Who You Are:
You are a collaborative and innovative problem-solver with a strong technical background. Your ability to communicate effectively with diverse teams and stakeholders is complemented by your analytical mindset and attention to detail. You are proactive, continuously seeking opportunities to leverage new technologies and methodologies to drive improvements. You thrive in a fast-paced environment and are committed to delivering high-quality solutions that meet business needs.
The Team You’ll Be A Part Of:
You will join the Business Applications team, a dynamic group focused on building and maintaining the data infrastructure that powers our enterprise-wide analytics and decision-making capabilities. The team is dedicated to innovation, collaboration, and excellence, working together to drive the success of Synopsys through cutting-edge data solutions.
Rewards and Benefits:
We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
Data Architect
Posted 3 days ago
Job Viewed
Job Description
Position Title: Data Architect
Location: Hyderabad
Employment Type: Full-Time
Mode: Work from Office
Working Shift: UK but might change based on business need
About the Role
We are looking for a hands-on Data Architect who can own the end-to-end data architecture strategy while also actively engage in the design, development, and optimization of our data ecosystem. This role demands deep technical expertise in data modeling, databases, cloud platforms, and integration frameworks, combined with the ability to mentor engineers and partner with stakeholders to ensure our data foundation supports business growth and innovation.
Key Responsibilities
Technical (70%)
- Design and build scalable and secure enterprise data architecture, including data lakes, warehouses, and real-time streaming solutions.
- Develop, optimize, and maintain data pipelines (ETL/ELT) for structured and unstructured data across multiple systems.
- Create and maintain conceptual, logical, and physical data models to ensure consistency, reuse, and governance.
- Optimize database performance (SQL/NoSQL) and implement partitioning, indexing, and query tuning strategies.
- Deploy and manage data solutions using cloud-native tools (AWS Glue, Redshift, Azure Synapse, GCP BigQuery, etc.).
- Implement data security frameworks (encryption, access control, GDPR, HIPAA compliance, etc.).
- Introduce and oversee metadata management, MDM, and data lineage tracking using industry-standard tools.
- Stay current with emerging technologies (e.g., AI/ML data pipelines, graph databases, lakehouse platforms).
Leadership & Strategic (30%)
- Serve as the data architecture authority, defining standards, frameworks, and best practices.
- Lead and mentor Data Engineers, BI Developers, and Analysts in architecture principles and implementation.
- Partner with Product, Engineering, and Business teams to translate requirements into data-driven solutions.
- Drive adoption of data governance and data quality frameworks across the organization.
- Provide technical leadership in solution design reviews, architecture boards, and strategic planning sessions.
- Evaluate vendor tools and make recommendations for long-term scalability and cost optimization.
Key Skills & Competencies
- Strong expertise in SQL, Python, or Scala for data processing and transformations.
- Proven experience with ETL/ELT frameworks (dbt, Informatica, Talend, Apache NiFi, Airflow).
- Hands-on experience with cloud data platforms (AWS: Redshift/Glue/Lake Formation; Azure: Synapse/Data Factory; GCP: BigQuery/Dataflow).
- Knowledge of real-time data streaming (Kafka, Kinesis, Spark Streaming).
- Strong foundation in data modeling (3NF, dimensional, star/snowflake schemas, data vault).
- Familiarity with DevOps for data (CI/CD pipelines, Infrastructure as Code, Terraform, Git).
- Knowledge of big data frameworks (Hadoop ecosystem, Spark).
- Understanding of data security, governance, and compliance frameworks.
- Strong communication skills with the ability to influence and guide technical and business teams.
Qualifications
- Bachelor’s/Master’s degree in Computer Science, Data Engineering, or related field.
- 8+ years of experience in data engineering/architecture roles with at least 3+ years as a Data Architect.
- Proven expertise in designing and implementing enterprise-scale, cloud-based data ecosystems.
- Relevant certifications preferred (AWS Certified Data Analytics, Google Professional Data Engineer, Azure Data Engineer Associate).