Data Architect

Keka Inc.; Hyderabad; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Keka Inc. is seeking a hands-on Data Architect to lead the architecture and technical implementation of a modern data platform on Databricks, defining Bronze–Silver–Gold architecture, data models and governance.

You will provide technical leadership to the engineering team, design end-to-end data pipelines, ensure data quality, and collaborate with domain SMEs to tailor analytics-ready datasets. This role requires deep Databricks expertise, Delta Lake, Unity Catalog, RBAC, and cloud storage

Qualifications

• Hands-on Databricks experience.
• Spark/PySpark, Python and SQL proficiency.
• Delta Lake with Bronze–Silver–Gold architecture.
• Strong data modelling and ETL/ELT architecture.
• Databricks Unity Catalog, RBAC and data lineage.
• Cloud data platforms and object storage (AWS S3).
• Ability to operate as a hands-on architect/technical lead.

Responsibilities

• Design end-to-end Databricks Lakehouse and Medallion Architecture.
• Define scalable Bronze, Silver and Gold data models and transformation patterns.
• Architect ingestion and integration of heterogeneous datasets from file and cloud/object-storage sources.
• Define data harmonization, entity mapping, reference-data and analytical modelling approaches.
• Design data-quality, reconciliation, exception-handling and reprocessing frameworks.
• Design Gold-layer curated datasets for analytics and AI-assisted exploration.
• Define Unity Catalog, RBAC, metadata, lineage and governance patterns.
• Guide Data + AI Engineers through design/code reviews and technical troubleshooting.
• Collaborate with the Bioinformatics SME to incorporate domain-specific data requirements.
• Support architecture documentation, performance optimization and solution handover.

Skills

Databricks

Spark/PySpark

Python

SQL

Data Modeling

ETL/ELT

Unity Catalog

RBAC

Data Governance

AWS S3

Tools

Databricks Lakehouse

Delta Lake

Unity Catalog

Job description

We are looking for a hands-on Data Architect to lead the architecture and technical implementation of a modern data platform on Databricks. The role will define the Bronze–Silver–Gold architecture, data models, ingestion and transformation patterns, governance, data quality, and analytical data layers while providing technical leadership to the engineering team.

Key Responsibilities

• Design end-to-end Databricks Lakehouse and Medallion Architecture.
• Define scalable Bronze, Silver and Gold data models and transformation patterns.
• Architect ingestion and integration of heterogeneous datasets from file and cloud/object-storage sources.
• Define data harmonization, entity mapping, reference-data and analytical modelling approaches.
• Design data-quality, reconciliation, exception-handling and reprocessing frameworks.
• Design Gold-layer curated datasets for analytics and AI-assisted exploration.
• Define Unity Catalog, RBAC, metadata, lineage and governance patterns.
• Guide Data + AI Engineers through design/code reviews and technical troubleshooting.
• Collaborate with the Bioinformatics SME to incorporate domain-specific data requirements.
• Support architecture documentation, performance optimization and solution handover.

Must Have

• Strong hands-on Databricks experience.
• Spark/PySpark, Python and SQL.
• Delta Lake and Bronze–Silver–Gold/Medallion Architecture.
• Strong data modelling and ETL/ELT architecture experience.
• Databricks Unity Catalog, RBAC and data lineage.
• Data quality, reconciliation and metadata-management concepts.
• Cloud data platforms and object storage, preferably AWS/S3.
• Ability to operate as a hands-on architect/technical lead in a fast-paced MVP.

Preferred

• Exposure to genomics or multi-omics datasets.
• Databricks certification.
• Posit/R, Terraform or Databricks Asset Bundles.