Data Architect

Job highlights

• Proven experience in AWS cloud ecosystem (S3,Glue,EMR,Lambda,Redshift,Athena)
• Domain understanding in BFSI/ Fintech (preferred)
• Preferred experience in working with either Snowflake or Databricks
• Experience: 8 years and above
• Experience
• 6+ years of experience in data engineering,data warehousing,or big data platforms

Job Summary

Job Title: Data Architect

Location: Bangalore/Coimbatore (no hybrid/no remote)

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).

• Domain understanding in BFSI/ Fintech (preferred).

• 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.

  Responsibilities

• 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

• Technologies: AWS, Snowflake, Databricks, Spark, Python, SQL, Airflow, Kafka

• Frameworks: Spark Core, Spark SQL, Spark Streaming/Flink

• Soft Skills: Leadership, stakeholder management, Team Management, communication, problem-solving, decision-making

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.