Principal / Lead Data Architect (AWS Focus)

Tekskills Inc.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Tekskills Inc. in Bengaluru seeks a Principal/Lead Data Architect (AWS focus) to design scalable, secure data architectures using Databricks and Snowflake, and to lead real-time data engineering efforts.

You will own end-to-end pipelines, mentor engineering teams, collaborate with Data Science and AI groups, and drive best practices across AWS, Delta Lake, and streaming technologies.

Qualifications

• 10+ years of experience in data architecture and leadership.
• Hands-on experience with Databricks Lakehouse, Delta Lake, and Unity Catalog.
• Expertise in AWS, Snowflake, and real-time data engineering.

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

Python

Scala

SQL

Structured Streaming

Tools

Databricks

Snowflake

Apache Kafka

Apache Flink

AWS Kinesis

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.