Databricks Lakehouse Architect Job Description
The Databricks Lakehouse Architect is responsible for designing and implementing scalable, secure, and high-performance data solutions using the Databricks Lakehouse Platform. Key responsibilities include:
Defining architectural standards and guiding engineering teams to align data strategies with business goals.
Leveraging Databricks' unified analytics capabilities to build enterprise-grade data platforms that support advanced analytics, machine learning, and real-time data processing.
Designing and implementing Lakehouse architectures using Delta Lake, Unity Catalog, and structured streaming.
Architecting scalable ETL/ELT pipelines using Apache Spark, PySpark, and Databricks Workflows.
Leading the integration of Databricks with enterprise systems such as data catalogs, data quality frameworks, ML platforms, and BI tools.
Collaborating with data scientists, engineers, and business stakeholders to support ML model lifecycle management using MLflow.
Providing technical leadership in performance tuning, cost optimization, and cluster configuration.
Demonstrated experience or familiarity with AI systems such as Databricks DBRX, Mosaic AI, and AutoML, including their integration into data.
Experience with AI systems such as Databricks DBRX, Mosaic AI, and AutoML, including their integration into data.
Experience with AI systems such as Databricks DBRX, Mosaic AI, and AutoML, including their integration into data.
Candidates should have a strong background in Databricks, with experience in data engineering, cloud platforms, and data modeling. Experience with AI systems and agentic frameworks is also a plus.
Pay: Up to ₹1,800,000.00 per year
Work Location: In person
