Data Architect

Awign; Bengaluru Urban; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Awign is seeking an accomplished Data Engineer Lead in Bengaluru to drive large-scale data platforms. You will design scalable pipelines, mentor engineers, and partner with product teams to translate business needs into robust data solutions.

The role requires 8+ years of experience in data engineering, strong AWS and Spark expertise, and a proven track record with Snowflake and Databricks.

Qualifications

• 8+ years of experience in data engineering, data warehousing, or big data platforms.
• Proven experience in AWS cloud ecosystem (S3, Glue, EMR, Lambda, Redshift, Athena).
• Strong hands-on expertise with Apache Spark (Core, SQL, Streaming) and PySpark.
• Practical knowledge of Databricks for collaborative data engineering and ML workflows.
• Proficiency in Snowflake for data warehousing and analytics use cases.

Responsibilities

• Lead and mentor a team of data engineers and analysts, promoting best practices in data design and engineering.
• Establish and enforce coding standards, architecture guidelines, and design patterns across projects.
• Design and architect scalable, secure, and performant big data solutions using AWS, Snowflake, or Databricks.
• Partner with business leaders, product managers, and clients to translate business objectives into technical data solutions.
• Collaborate with cross-functional teams to ensure seamless data delivery and alignment with business goals.
• Conduct code and architecture reviews, ensuring high-quality deliverables and adherence to technical standards.

Skills

Data engineering

Data warehousing

Big data

AWS

Apache Spark

Databricks

Snowflake

Python

SQL

ETL/ELT design

Data modeling

Cost optimization

Tools

AWS services (S3, Glue, EMR, Lambda, Redshift, Athena)

Databricks

Snowflake

Tableau

Power BI

QuickSight

Job description

Bangalore North, India | Posted on 01/23/2026

Job Type - Permanent

Experience - 8 Years and above

Experience:

• 6+ years of experience in data engineering, data warehousing, or big data platforms.
• Proven experience in AWS cloud ecosystem (S3, Glue, EMR, Lambda, Redshift, Athena).
• Strong hands-on expertise with Apache Spark (Core, SQL, Streaming) and PySpark.
• Practical knowledge of Databricks for collaborative data engineering and ML workflows.
• Proficiency in Snowflake for data warehousing and analytics use cases.
• Strong programming skills in Python and SQL.
• Expertise in data modeling, ETL/ELT pipeline design, and data warehousing concepts.
• Experience with distributed and real-time processing frameworks like Flink
• Exposure to at least one BI tool (Tableau, Power BI, or QuickSight)
• Preferred experience in working with either Snowflake or Databricks
• Prior experience in designing and implementing at least 2+ large-scale production data migration or modernization projects
• Design and architect scalable, secure, and performant big data solutions using AWS, Snowflake, or Databricks
• Strong understanding of performance tuning, cost optimization, and pipeline monitoring for reliable production workloads.
• Partner with business leaders, product managers, and clients to translate business objectives into technical data solutions
• Establish and enforce coding standards, architecture guidelines, and design patterns across projects
• Lead and mentor a team of data engineers and analysts, promoting best practices in data design and engineering
• Conduct code and architecture reviews, ensuring high-quality deliverables and adherence to technical standards.
• Collaborate with cross-functional teams to ensure seamless data delivery and alignment with business goals

Key Skills: