6,015 Data Architect jobs in India

Experience: 10-18 years

NP: Immediate joiners are preferred or candidates serving NP can join within 20 days

Key Responsibilities:

• Design and architect end-to-end data warehouse solutions using modern data platforms
• Define data models (star/snowflake schema), data marts, and OLAP structures
• Create and manage ETL/ELT pipelines to ingest data from various sources (structured, semi-structured)
• Collaborate with business and data teams to translate requirements into scalable data architecture
• Ensure data quality, governance, security, and compliance standards are met
• Optimize data storage and query performance for analytical workloads
• Develop data strategy and roadmap aligned with business objectives
• Guide and mentor data engineering teams on best practices

Required Skills and Experience:

• Strong experience with data warehousing concepts, architecture, and best practices
• Expertise in dimensional modeling, data lakes, and data marts
• Hands-on experience with one or more cloud platforms
• Proficiency with ETL/ELT tools
• Excellent SQL and performance tuning skills
• Familiarity with DevOps, CI/CD for data pipelines, and version control (Git)
• Strong understanding of data governance, cataloging, and security
• Experience with BI tools (Power BI, Tableau, etc.) is a plus

Required skills:

Tools & Technologies Cloud Platform : Azure (Data Bricks, DevOps, Data factory, azure synapse Analytics, Azure SQL, blob storage, Databricks Delta Lake)

Languages : Python/PL/SQL/SQL/C/C++/Java

Databases : Snowflake/ MS SQL Server/Oracle

Design Tools : Erwin & MS Visio.

Data warehouse tools : SSIS, SSRS, SSAS. Power Bi, DBT, Talend Stitch, PowerApps, Informatica 9, Cognos 8, OBIEE.

Any cloud exp is good to have.

Principal Data Engineer

We are seeking a Principal Data Engineer to lead the development of our data warehouse team, working closely with clients and mentoring senior engineers. This role involves designing a holistic roadmap for our data warehouse offerings, resolving complex data modeling challenges, and ensuring smooth delivery of features.

This position requires strong coding expertise in Python, JVM, and Shell scripting with production-grade experience, as well as 5+ years in cloud-native, data-intensive applications with mandatory AWS expertise. You'll also need proven experience in data warehouse design & development using modern DW tools, hands-on experience with Databricks and dbt, and expert knowledge of Airflow (workflow orchestration).

• Lead and Mentor: Lead a team of 4–5 Sr. Engineers, drive client communication, requirement gathering and roadmap planning, identify risks and provide mitigation strategies, conduct PR reviews and guide best practices.
• Required Skills: Strong coding expertise: Python, JVM, and Shell scripting with production-grade experience; 5+ years in cloud-native, data-intensive applications with mandatory AWS expertise.
• Key Responsibilities: Build and optimize cutting-edge data platforms with modern cloud-native technologies, influence architecture and business-aligned tech roadmaps, collaborate in a collaborative, innovative and growth-driven culture.
• Education and Experience: 10+ years of experience in Data Engineering, with 4+ years leading teams; proficient in building CI/CD pipelines (GitHub Actions, Jenkins, or ArgoCD) and solid knowledge of unit testing & test automation frameworks.

Why Choose Us?

We offer a collaborative, innovative and growth-driven culture where you can lead and mentor top engineering talent, build and optimize cutting-edge data platforms and influence architecture and business-aligned tech roadmaps. We believe in creating value through innovation, collaboration, and a customer-centric approach.

The ideal candidate will have a deep understanding of file formats (Parquet, Delta Lake, OTFs), proficiency in building CI/CD pipelines (GitHub Actions, Jenkins, or ArgoCD) and solid knowledge of unit testing & test automation frameworks.

About us

We are a leader in providing innovative workforce solutions, dedicated to optimizing talent acquisition and management processes.

Our commitment to excellence has earned us the trust of businesses looking to enhance their talent strategies.

We cultivate a dynamic and collaborative environment that empowers our employees to excel and contribute to our clients' success.

Job Summary

We seek a highly skilled ETL Specialist to join our team. The ideal candidate will be responsible for designing, developing, and maintaining ETL processes, as well as data warehouse design and modeling, to support our data integration and business intelligence initiatives.

This role requires proficiency in T-SQL, Azure Data Factory (ADF), and SSIS, along with excellent problem-solving and communication skills.

Responsibilities

• Design, develop, and maintain ETL processes to support data integration and business intelligence initiatives.
• Utilize T-SQL to write complex queries and stored procedures for data extraction and transformation.
• Implement and manage ETL processes using SSIS (SQL Server Integration Services).
• Design and model data warehouses to support reporting and analytics needs.
• Ensure data accuracy, quality, and integrity through effective testing and validation procedures.
• Collaborate with business analysts and stakeholders to understand data requirements and deliver solutions that meet their needs.
• Monitor and troubleshoot ETL processes to ensure optimal performance and resolve any issues promptly.
• Document ETL processes, workflows, and data mappings to ensure clarity and maintainability.
• Stay current with industry trends and best practices in ETL development, data integration, and data warehousing.

Requirements

• Minimum 4+ years of experience as an ETL Developer or in a similar role.
• Proficiency in T-SQL for writing complex queries and stored procedures.
• Experience with SSIS (SQL Server Integration Services) for developing and managing ETL processes.
• Knowledge of ADF (Azure Data Factory) and its application in ETL processes.
• Experience in data warehouse design and modeling.
• Knowledge of Microsoft's Azure cloud suite, including Data Factory, Data Storage, Blob Storage, Power BI, and Power Automate.
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills.
• Strong attention to detail and commitment to data quality.
• Bachelor's degree in Computer Science, Information Technology, or a related field is preferred.

Bonus Points

• Experience working with data visualization tools such as Power BI.
• Knowledge of containerization using Docker.

About the Company

Cvent is a leading meetings, events, and hospitality technology provider with more than 4,800 employees and ~22,000 customers worldwide, including 53% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business. Our technology brings millions of people together at events around the world. In short, we’re transforming the meetings and events industry through innovative technology that powers the human connection.

The DNA of Cvent is our people, and our culture has an emphasis on fostering intrapreneurship – a system that encourages Cventers to think and act like individual entrepreneurs and empowers them to take action, embrace risk, and make decisions as if they had founded the company themselves. At Cvent, we value the diverse perspectives that each individual brings. Whether working with a team of colleagues or with clients, we ensure that we foster a culture that celebrates differences and builds on shared connections.

About the Role -

Looking for an IT Professional with 4-12 years of hands-on Snowflake Data Cloud experience to lead the design, implementation, and optimization of scalable data solutions. The ideal candidate excels in Snowflake architecture, data warehousing, data lakes, serverless/cloud automation, and AI/LLM concepts.

Key Responsibilities:

• Architect and deliver end-to-end data solutions on Snowflake.
• Demonstrate deep understanding of data warehousing concepts and work with structured, semi-structured, and unstructured data.
• Apply deep expertise in Snowflake architecture (compute, storage, security, data sharing).
• Use Snowflake native load utilities (e.g., Snowpipe, COPY INTO) for data ingestion and transformation.
• Develop and manage API-based integrations and automation.
• Lead data governance, quality, security, and compliance efforts.
• Optimize performance and manage costs.
• Oversee Snowflake infrastructure provisioning, scaling, and monitoring.
• Act as primary stakeholder contact; drive meetings and translate business needs.
• Foster innovation in data architecture, analytics, and AI-driven solutions.
• Collaborate with cross-functional teams.
• Stay current on Snowflake advancements, especially AI features like Cortex.
• Proactively perform POCs for new Snowflake features & drive adoptions.
• Leverage data lake frameworks & serverless technologies

Qualifications :

• Bachelor’s/master’s in computer science, IT, or related field.
• 7-12 years of Snowflake Data Cloud experience.
• Deep understanding of Snowflake architecture and ecosystem.
• Strong grasp of data warehousing concepts and diverse data structures.
• Expertise in Snowflake native load utilities.
• API integration and automation experience.
• Data governance, security, and compliance background.
• Performance optimization and cost management skills.
• Experience with Snowflake infrastructure management.
• Excellent communication and stakeholder management.
• Innovative, AI-driven mindset.
• Hands-on Python for data engineering/automation.
• Knowledge of AI, LLMs, and Snowflake AI features (e.g., Cortex).
• Experience with data lake frameworks and serverless technologies.

Preferred

• Familiarity with data modelling, Python, Pyspark and warehousing best practices.
• Exposure to MLOps, AI/ML pipelines, or deploying AI models.
• Snowflake or relevant cloud certifications.

About the Company

Cvent is a leading meetings, events, and hospitality technology provider with more than 4,800 employees and ~22,000 customers worldwide, including 53% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business. Our technology brings millions of people together at events around the world. In short, we’re transforming the meetings and events industry through innovative technology that powers the human connection.

The DNA of Cvent is our people, and our culture has an emphasis on fostering intrapreneurship – a system that encourages Cventers to think and act like individual entrepreneurs and empowers them to take action, embrace risk, and make decisions as if they had founded the company themselves. At Cvent, we value the diverse perspectives that each individual brings. Whether working with a team of colleagues or with clients, we ensure that we foster a culture that celebrates differences and builds on shared connections.

About the Role -

Looking for an IT Professional with 4-12 years of hands-on Snowflake Data Cloud experience to lead the design, implementation, and optimization of scalable data solutions. The ideal candidate excels in Snowflake architecture, data warehousing, data lakes, serverless/cloud automation, and AI/LLM concepts.

Key Responsibilities:

• Architect and deliver end-to-end data solutions on Snowflake.
• Demonstrate deep understanding of data warehousing concepts and work with structured, semi-structured, and unstructured data.
• Apply deep expertise in Snowflake architecture (compute, storage, security, data sharing).
• Use Snowflake native load utilities (e.g., Snowpipe, COPY INTO) for data ingestion and transformation.
• Develop and manage API-based integrations and automation.
• Lead data governance, quality, security, and compliance efforts.
• Optimize performance and manage costs.
• Oversee Snowflake infrastructure provisioning, scaling, and monitoring.
• Act as primary stakeholder contact; drive meetings and translate business needs.
• Foster innovation in data architecture, analytics, and AI-driven solutions.
• Collaborate with cross-functional teams.
• Stay current on Snowflake advancements, especially AI features like Cortex.
• Proactively perform POCs for new Snowflake features & drive adoptions.
• Leverage data lake frameworks & serverless technologies

Qualifications :

• Bachelor’s/master’s in computer science, IT, or related field.
• 7-12 years of Snowflake Data Cloud experience.
• Deep understanding of Snowflake architecture and ecosystem.
• Strong grasp of data warehousing concepts and diverse data structures.
• Expertise in Snowflake native load utilities.
• API integration and automation experience.
• Data governance, security, and compliance background.
• Performance optimization and cost management skills.
• Experience with Snowflake infrastructure management.
• Excellent communication and stakeholder management.
• Innovative, AI-driven mindset.
• Hands-on Python for data engineering/automation.
• Knowledge of AI, LLMs, and Snowflake AI features (e.g., Cortex).
• Experience with data lake frameworks and serverless technologies.

Preferred

• Familiarity with data modelling, Python, Pyspark and warehousing best practices.
• Exposure to MLOps, AI/ML pipelines, or deploying AI models.
• Snowflake or relevant cloud certifications.