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.
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.