Data Architect
- Compensation
- Not disclosed
- Location
- Bangalore North, India
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 6+ years
- Category
- Architecture
- Posted
Skills
Full description
Job Title: Data ArchitectLocation - Bangalore/Coimbatore (No hybrid/No remote)Job Type - PermanentExperience - 8 Years and aboveExperience:**
● 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
Roles & 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