Data Architect_AWS+Data Bricks_15+ years_Pune

HI,

Greetings for the day !!!

We at HCL are looking Data Architects with exp in AWS, Python, Pyspark, Snowflake and ETL.

Location:Pune/PAN India (Hyderabad, Bangalore, Chennai and Pune)

If interested reach us on srikanth.domala@hcltech.com

Provide us the details below:

Total years of exp:

Exp in AWS:

Exp in Python/Pyspark:

Exp in Data Bricks:

Current CTC:

Expected CTC:

Notice Period:

Current location:

Preferred location:

Detailed Responsibilities

• Lead the design and expansion of a robust data integration platform supporting global wealth management operations.
• Collaborate closely with business stakeholders, data architects, and development teams to gather requirements and align solutions with business needs.
• Analyze, model, and create data architectures, including star schema and third normal form, ensuring they meet business, regulatory, and technical standards.
• Define and document business transformation rules from source to consumer interfaces, and conduct impact assessments for proposed changes.
• Develop and maintain data models and metadata repositories, ensuring alignment with enterprise data governance frameworks.
• Build and share deep knowledge of data sources, platform capabilities, and consumer data usage, educating users and technical teams.
• Validate data models against projected data growth, evolving business patterns, and non-functional requirements.
• Provide leadership in stakeholder management, driving cross-functional team collaboration and effective project delivery.
• Make informed decisions on technical direction, troubleshooting, and implementing solutions to complex data architecture challenges.
• Ensure all activities are compliant with regulatory frameworks, risk policies, and internal standards.

Skill Requirements

Essential Technical Skills & Experience

• Proficiency in Databricks, Apache Spark, and Python for data engineering and analytics.
• Strong experience with data modelling, including definition of data schemata in both star schema and third normal form environments.
• Advanced SQL skills and hands-on experience with data warehousing platforms.
• Demonstrated experience in the financial domain, with understanding of investment and client data entities.
• Knowledge of data governance, data quality principles, and best practices in data management.
• Ability to interpret source data models with limited documentation.
• Familiarity with data integration patterns, data lineage, and metadata management.
• Experience with ER Studio or similar data modelling tools.

Desirable / Good-to-Have Skills

• Hands-on experience with Amazon Web Services (AWS) including AWS Glue, Athena, and S3.
• Working knowledge of RESTful APIs for data integration.
• Experience with data science and machine learning concepts.
• Familiarity with data catalog tools such as Alation.
• Proficiency in Python Pandas for data manipulation.
• Exposure to ETL tools and agile delivery methodologies.
• Graduate degree in Computer Science, Information Technology, or related discipline.