Principal / Lead Data Architect (AWS Focus)

Tekskills Inc.; Chennai; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Tekskills Inc. is seeking a Principal/Lead Data Architect (AWS Focus) in Bangalore to design and lead scalable data platforms. You will drive real-time data pipelines, leverage Databricks Lakehouse, Snowflake, and AWS services, and provide technical leadership across engineering teams.

This senior role requires 10+ years of experience, strong architecture skills, and collaboration with Data Science/AI teams to enable ML pipelines and advanced analytics.

Qualifications

• 10+ years of experience in data architecture and leadership.
• Strong AWS, Databricks, Snowflake expertise.
• Experience with real-time data streaming and data lakehouse.
• Excellent design of end-to-end scalable data platforms.

Responsibilities

• Design end-to-end, scalable, secure, and highly available data architectures using Databricks and Snowflake.
• Architect, optimize, and deploy batch and streaming ETL/ELT pipelines.
• Build enterprise-scale cloud data platforms within the AWS ecosystem.
• Develop robust data ingestion frameworks using Databricks APIs, REST, and GraphQL APIs.
• Design real-time streaming solutions using Kafka, Flink, or AWS Kinesis.
• Implement modern and traditional data warehouse models (Kimball, Inmon, Star/Snowflake schemas).
• Provide technical leadership, governance, and mentor engineering teams.
• Collaborate with Data Science and AI teams to support LLMs, ML pipelines, and advanced analytics.

Skills

Databricks

Python

Scala

SQL

Snowflake

Structured Streaming

Apache Kafka

Apache Flink / AWS Kinesis

Tools

Databricks Lakehouse

Delta Lake

Unity Catalog

Job description

Role: Principal / Lead Data Architect (AWS Focus)
Location: Bangalore

ONLY IMMEDIATE TO 20 DAYS JOINERS

Role Overview

Mandatory Skills

• Databricks
• Python
• Scala
• SQL
• Snowflake
• Structured Streaming
• Apache Kafka
• Apache Flink / AWS Kinesis

Key Responsibilities

• Design end-to-end, scalable, secure, and highly available data architectures using Databricks and Snowflake.
• Architect, optimize, and deploy batch and streaming ETL/ELT pipelines.
• Build enterprise-scale cloud data platforms within the AWS ecosystem.
• Develop robust data ingestion frameworks using Databricks APIs, REST, and GraphQL APIs.
• Design real-time streaming solutions using Kafka, Flink, or AWS Kinesis.
• Implement modern and traditional data warehouse models (Kimball, Inmon, Star/Snowflake schemas).
• Provide technical leadership, governance, and mentor engineering teams.
• Collaborate with Data Science and AI teams to support LLMs, ML pipelines, and advanced analytics.

Required Technical Expertise

• Strong hands-on experience with Databricks Lakehouse, Delta Lake, and Unity Catalog.
• Expertise in distributed data pipelines using Python, Scala, and SQL.
• Deep knowledge of Snowflake architecture, performance tuning, and cost optimization.
• Experience with real-time streaming technologies:
  • Apache Kafka
  • Apache Flink
  • AWS Kinesis
• Strong knowledge of relational databases and NoSQL ecosystems.

This is a Principal/Lead Data Architect role focused on AWS, Databricks, Snowflake, and Real-Time Data Engineering, requiring 10+ years of experience with strong architecture and leadership capabilities.