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.
(ref : hirist.tech)