Hands-On | Micro Data Lakes | Enterprise Data Strategy.

Are you a hands-on Data Architect who thrives on solving complex data problems across structured and unstructured sources? Do you enjoy designing micro data lakes and driving enterprise-wide data strategy?

If so, we want to hear from you.

What You Will Do :

- Design and build micro data lakes tailored to lending domain.

- Define and implement enterprise data strategies including modelling, lineage, and governance.

- Architect and build robust data pipelines for batch and real-time data ingestion.

- Develop strategies for extracting, transforming, and storing data from APIs, PDFs, logs, databases, and more.

- Establish best practices for data quality, metadata management, and data lifecycle control.

- Hands-on in implementation of processes, strategies and tools to create differentiated products.

- Collaborate with engineering and product teams to align data architecture with business goals.

- Evaluate and integrate modern data platforms and tools such as Databricks, Spark, Kafka, Snowflake, AWS, GCP, Azure.

- Mentor data engineers and advocate for engineering excellence in data practices.

What You Bring :

- 10+ years of experience in data architecture and engineering.

- Deep understanding of structured and unstructured data ecosystems.

- Hands-on experience with ETL, ELT, stream processing, querying and data modelling.

- Proficiency in tools and languages such as Spark, Kafka, Airflow, SQL, Amundsen, Glue Catalog and Python.

- Expertise in cloud-native data platforms including AWS, Azure, or GCP.

- Strong grounding in data governance, privacy, and compliance standards.

- A strategic mindset with the ability to execute hands-on when needed.

Nice to Have :

- Exposure to the lending domain.

- Exposure to ML pipelines or AI integrations.

- Background in fintech, lending, or regulatory data environments.

What We Offer :

- An opportunity to lead data-first transformation, create products that accelerate AI adoption.

- Autonomy to design, build, and scale modern data architecture.

- A forward-thinking, collaborative, and tech-driven culture.

- Access to the latest tools and technologies in the data ecosystem.

Location : Chennai.

Experience : 10-15 Years | Full-Time | Work From Office.