: Principal / Lead Data Architect (AWS Focus)

Location: Bengaluru Experience: 10+ Years Employment Type: Full-time

? Mandatory Skills

Databricks (Delta Lake, Unity Catalog, Spark optimization)

Python, Scala, SQL

Snowflake (architecture, performance tuning, cost optimization)

Structured Streaming

Apache Kafka, Flink, AWS Kinesis

Cloud-native architecture (AWS ecosystem)

?️ Position Summary

We are seeking a highly seasoned Lead/Principal Data Architect with over a decade of experience to design, build, and scale our next-generation data platform. This role requires a rare blend of deep respect for traditional data warehousing and mastery of modern Lakehouse architectures, real-time streaming, and AI-driven data solutions.

You will act as the mastermind behind our data strategy, bridging complex business requirements with robust technical execution, while mentoring engineering teams and driving architectural excellence.

? Roles & Responsibilities

Architecture & Strategy: End-to-end design of scalable, secure, and highly available data architectures leveraging Databricks and Snowflake.

Pipeline Engineering: Architect, optimize, and oversee deployment of reliable streaming and batch pipelines (ETL/ELT) for large-scale datasets.

Cloud Architecture: Deploy enterprise data platform components natively within AWS, ensuring integration with IAM, networking, and security protocols.

API Ingestion & Orchestration:



Build robust ingestion frameworks using Databricks APIs and external REST/GraphQL APIs for automated workflows.

Real-time Processing: Design frameworks for low-latency, business-critical data ingestion and processing.

Hybrid Data Modelling: Harmonize relational warehousing (Kimball/Inmon, Star/Snowflake schemas) with up-to-date semi/unstructured paradigms.

Technical Leadership: Provide governance, solve complex bottlenecks, and mentor teams on best practices.

AI Integration: Collaborate with AI/ML teams to architect data layers supporting LLMs, feature stores, and advanced analytics.

? Required Qualifications

Education: B.Tech/M.Tech in Computer Science, Engineering, or related field.

Experience: 10+ years in Data Engineering, Warehousing, and Architecture with proven leadership in enterprise-scale platforms.

Technical Expertise

Databricks Lakehouse, Delta Lake, Unity Catalog

Python, Scala, SQL for distributed pipelines

Snowflake architecture & optimization

Real-time systems (Kafka, Flink, AWS Kinesis)

RDBMS + NoSQL ecosystems

? Preferred Qualifications

Exposure to AI/ML data readiness (vector databases, feature stores, LLM pipelines).

Certifications: Databricks Certified Data Architect, Snowflake Certified Advanced Architect.

Strong communication skills to articulate complex architectures to both technical and non-technical stakeholders.

📌 Data Architect (Bengaluru)
🏢 Cloud Raptor
📍 Bengaluru