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Job Description

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:

Experience:


Ready to design the future of data with us?

Apply Now!


#DataArchitect #DataEngineering #MicroDataLakes #EnterpriseData #BigData #CloudData #StreamingData #ETL #DataStrategy #FintechJobs #HiringNow #AWS #GCP #Azure #Kafka #Spark #AI #ML

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