Data Architect

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. – MUST HAVE

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