Lead Data Architect

Mandatory Skills -Databricks,Python,Scala,SQL,Snowflake,Structured Streaming,Apache

Kafka,Flink/AWS Kinesis

Job Description

Architecture & Strategy End-to-end design of scalable, secure, and highly available

data architectures leveraging modern cloud data ecosystems (Databricks and

Snowflake).

Pipeline Engineering Architect, optimize, and oversee the deployment of reliable

streaming and batch data pipelines (ETL/ELT) to process complex, large-scale

datasets.

Cloud Architecture Architect and deploy scalable enterprise data platform

components natively within the AWS ecosystem, ensuring tight integration with core

security, IAM, and networking protocols.

API Ingestion & Orchestration Design and implement robust data ingestion

frameworks leveraging Databricks APIs and external REST/GraphQL APIs for

automated workflows, platform orchestration, and data delivery.

Real-time Processing Design and implement robust frameworks for real-time data

ingestion and processing to solve business-critical, low-latency use cases.

Hybrid Data Modelling Harmonize old school relational data warehousing patterns

(Kimball/Inmon, Star/Snowflake schemas) with unstructured/semi-structured modern

paradigms.

Technical Leadership Act as a core problem-solver for complex data bottlenecks,

provide technical governance, and mentor engineering teams on data best practices.

AI Integration Collaborate with Data Science and AI teams to architect data layers that

seamlessly support LLMs, Machine Learning pipelines, and advanced analytics

solutions.

Education Qualificaiton

B. Tech/MTech

Roles & Responsibilities

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. In this role, you will be

the mastermind behind our data strategy, bridging the gap between complex business

requirements and robust technical execution.

You will bring exceptional problem-solving abilities, deep expertise in Databricks and

Snowflake, and a proven track record of engineering high-throughput, real-time data pipelines.