Director, Data Architect
- BNY
- 15 - 20 years
- Pune
- 3 months ago
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Job Description
- Design and maintain conceptual, logical, and physical data models for data marts and enterprise data products.
- Develop schemas optimized for analytics, reporting, and federated data access across Corporate Functions.
- Ensure alignment of data models with enterprise data standards and governance practices.
- Build solutions leveraging Snowflake, Oracle, and AWS S3 as core platforms.
- Collaborate with engineering teams to ensure efficient ingestion, storage, and retrieval of structured and semi-structured data.
- Apply best practices for partitioning, indexing, and performance tuning.
- Work with central data lake teams to ensure authorized, standardized data sources are used.
- Design federated data marts to support specialized Corporate Functions analytics while minimizing duplication.
- Ensure data lineage, quality, and accessibility meet business and compliance requirements.
- Partner with business stakeholders in Finance, HR, Risk, Compliance, Legal, and Treasury to translate requirements into scalable data solutions.
- Collaborate with data governance, data engineering, and AI/ML teams to enable advanced use cases.
- Document metadata, business rules, and data definitions to support transparency and governance.
- Bachelors degree in computer science, Information Systems, Data Management, or related field.
- 15+ years of experience as a Data Modeler, Data Architect, or related role in the financial services industry.
- Strong knowledge of Snowflake, Oracle, and AWS S3.
- Familiarity with data lakes, federated data marts, and enterprise data architecture principles.
- Expertise in designing data models for Finance, Risk, HR, Compliance and Legal domains.
- Strong SQL and data modeling skills (e.g., normalization, dimensional modeling, star/snowflake schemas).
- Experience working with large-scale, high-volume datasets in a regulated environment.
- Experience with metadata management and data catalog tools.
- Knowledge of data governance frameworks (e.g., BCBS 239, GDPR, SOX).
- Familiarity with modern data product principles and data mesh concepts.
- Exposure to AI/ML-driven data products in a financial services context.
Job Classification
Industry: Financial ServicesFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Data warehouse Architect / ConsultantEmployement Type: Full timeContact Details:
Company: BNYLocation(s): Pune
Keyskills: data center design snowflake metadata oracle data management performance tuning metadata management hrsd data architecture data engineering sql data mart data modeling compliance data governance aws finance data lake architecture
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