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
[email protected]
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 / Positive-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.
📌 Data Architect_AWS+Data Bricks_15+ years_Pune (Bengaluru)
🏢 HCLTech
📍 Bengaluru