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Highly Experienced Big Data Strategist

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Chennai, Tamil Nadu, India beBeeBigDataArchitect Full time ₹ 15,00,000 - ₹ 25,00,000
Senior Big Data Architect

Job Description:

We are seeking a seasoned Senior Big Data Architect to lead the design, development and deployment of industry-leading big data and AI applications. As a key member of our team, you will be responsible for providing architectural guidance that fosters the adoption of Databricks across business-facing functions.

Key Responsibilities:

  • Engage in diverse impactful customer technical big data projects including developing reference architectures and minimally viable products (MVPs).
  • Lead strategic initiatives encompassing the end-to-end design, build, and deployment of big data and AI applications.
  • Collaborate with platform engineering teams to effectively implement Databrick services within our infrastructure.
  • Evaluate and assess new features and enhancements on the Databricks platform to ensure we leverage the latest capabilities.
  • Design and implement various integration patterns involving Databricks and third-party tools such as Collibra and data quality solutions.
  • Utilize your AWS administration and architecture expertise to optimize cloud resources and ensure seamless integration with Databricks.
  • Implement robust data governance and lineage capabilities using your hands-on experience with Databricks Unity Catalog.
  • Advocate for and implement CI/CD practices to streamline the deployment of Databricks solutions.
  • Contribute to developing a data mesh architecture promoting decentralized data ownership and accessibility across the organization.
  • Understand and articulate the analytics capabilities of Databricks enabling teams to derive actionable insights from their data.

Requirements:

  • 7+ years of experience with Big Data technologies including Apache Spark cloud-native data lakes and data mesh platforms in a technical architecture or consulting role.
  • 5+ years of independent experience in Big Data architecture.
  • Proficiency in Python coding and familiarity with data engineering best practices.
  • Extensive experience working with AWS cloud platforms including a solid understanding of AWS services and architecture.
  • Substantial documentation and whiteboarding skills to effectively communicate complex ideas.
  • In-depth knowledge of the latest services offered by Databricks with the ability to evaluate and integrate these services into our platform.
  • Proven experience implementing solutions using Databricks Unity Catalog focusing on data governance and lineage tracking.
  • Demonstrated expertise in migrating from Databricks classic platform to Lakehouse architecture utilizing Delta file format and/or Delta Live Tables.
  • A collaborative mindset with the ability to work effectively across teams and functions.