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Data Architect - Databricks

Data Architect - Databricks

Bellfast Management Private LimitedBangalore
1 day ago
Job description

Key Responsibilities Architecture & Design :

  • Define best practices for data pipelines, orchestration, and governance using Lakehouse architecture.
  • Partner with product, business, and engineering teams to align architecture with business & AI Expertise :
  • Hands-on implementation and optimization of Databricks AI tools, including :
  • Agent Bricks (AI agent orchestration)
  • Lakeflow Designer (data workflow automation)
  • MLflow (ML lifecycle management)
  • Genie or Mosaic AI (generative AI & enterprise search)
  • At least one end-to-end implementation experience of AI / ML workloads using Architect large-scale data platforms leveraging Databricks for advanced analytics, AI / ML, and real-time data processing.
  • Stay updated with the latest industry trends in AI, MLOps, LLMOps, and data architectures.

Leadership & Stakeholder Engagement :

  • Lead technical discussions and workshops with cross-functional stakeholders across global geographies.
  • Provide technical thought leadership and mentor junior engineers / architects.
  • Collaborate with enterprise architects, data scientists, and cloud engineers to ensure architectural consistency.

    • Innovation & Best Practices :

  • Establish architectural blueprints, standards, and data governance practices.
  • Evaluate new tools, frameworks, and methodologies for adoption in the data ecosystem.
  • Drive performance tuning, cost optimization, and scalability in Databricks and AI solutions.

    • Must-Have Skills :

  • 10+ years in data engineering / architecture, with strong hands-on experience in Databricks.
  • Expertise in Databricks AI suite (Agent Bricks, Lakeflow Designer, MLflow, Genie or Mosaic AI).
  • Proven end-to-end AI / ML implementation experience on Databricks.
  • Strong knowledge of Delta Lake, PySpark, SQL, and Data Lakehouse design patterns.
  • Excellent understanding of MLOps / LLMOps, model deployment, and monitoring.
  • Strong communication and stakeholder management skills with global exposure.

    • Good-to-Have Skills :

  • Cloud platform experience (Azure, AWS, or GCP) with Databricks.
  • Exposure to GenAI, Vector Databases, RAG frameworks.
  • Familiarity with data security, compliance, and privacy regulations.
  • Industry certifications (e.g., Databricks Certified Data Architect / ML Professional).

    • (ref : hirist.tech)

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    Data Architect • Bangalore