Tekskills Inc.
Principal / Lead Data Architect (AWS Focus)
Skills
13 days ago
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Important information
Contract type:
Permanent
Salary:
₹2,000,000 – ₹3,000,000 / year
Location:
Kolkata, West Bengal, India
Work mode:
Onsite
Published on:
14 October 2026
What they need
Job highlights
- Architect,optimize,and deploy batch and streaming ETL / ELT pipelines
- Location: Bangalore . ONLY IMMEDIATE TO 20 DAYS JOINERS
- Required Technical Expertise
- Strong hands-on experience with Databricks Lakehouse,Delta Lake,and Unity Catalog
- Experience with real-time streaming technologies: . Apache Kafka
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.
Please share your updated CV to [email protected]
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