Chief Data Architect

4 days ago

Thāne, Maharashtra, India beBeeEngineering Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About this role:

We are seeking an experienced Data Engineering Lead to drive architecture design and implementation for multiple enterprise data initiatives. As a key member of our team, you will be responsible for defining and documenting multi-layered architectures across data warehouses, lake houses, and operational data stores.

Key Responsibilities:

  • Technical Leadership: Provide technical guidance and oversight to ensure the successful delivery of all programs end to end.
  • Data Platform Architecture and Implementation: Develop conceptual, logical, and physical data models using consistent standards, including dimensional, normalized, and denormalized structures.
  • Production Management: Run daily processes for efficient and reliable delivery of all programs end to end.
  • Platform Expertise: Apply best practices where Snowflake is part of the solution stack.
  • Schemata & Data Modelling: Develop conceptual, logical, and physical data models using consistent standards.
  • Best Practices & Optimization: Provide guidance on data partitioning, indexing, access controls, naming conventions, and performance optimization.
  • Metadata & Data Lineage: Collaborate with governance and stewardship teams to integrate metadata management, lineage mapping, and catalog tools.
  • Collaboration: Work closely with analysts, governance leads, engineering teams, and application architects to align models with domain requirements and enterprise architecture standards.
  • Documentation: Maintain architecture blueprints and technical diagrams.
  • Mentorship: Guide engineers, modelers, and other technical resources on architectural best practices.

Requirements:

  • Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.
  • Experience: 12+ years of IT experience with a strong background in data engineering, modeling, and architecture. 5+ years of experience designing and implementing enterprise data platforms (cloud/on-prem), including at least 3 years with Snowflake.
  • Proficiency: Proficiency in SQL, schema design, and data modeling tools. Certifications in Snowflake incl data modelling, data extracts/ingestion will be given preference.
  • Skills: Strong knowledge of ELT/ETL patterns, data integration, and orchestration tools. Integration Experience with ETL and ELT tools and applications incl SAP ABAP Experience with streaming data platforms and OData. Experience with CDC patterns.
  • Familiarity: Familiarity with security and compliance frameworks, including RBAC and regulatory requirements.
  • Proven track record: Proven track record in project delivery, including performance optimization and handling large-scale dataset.
  • Experience: Experience integrating data platforms with BI tools.

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