
Data Architect
2 weeks ago
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
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