Design, build, and maintain data pipelines and curated datasets within Databricks Unity Catalog.
Develop and document Metric Views defining core business metrics (schedules, on-time performance, bookings, pricing) to ensure consistency across the platform.
Configure and tune domain-specific Genie Agents for conversational analytics.
Contribute to the multi-agent orchestration architecture, including the Supervisor Agent layer.
Implement MLflow tracing and evaluation to monitor agent quality and manage versioning.

Jobs at Software Mind

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About the role

Join Software Mind as a Senior Data Engineer to help build the next-generation Intelligence Layer—a governed, AI-powered analytics platform that delivers trusted, real-time answers for customers and internal users. You will work on a cutting-edge Databricks stack within a collaborative engineering team, shaping how AI interfaces with business-critical data.

Responsibilities

Qualifications:

Design, build, and maintain data pipelines and curated datasets within Databricks Unity Catalog.
Develop and document Metric Views defining core business metrics (schedules, on-time performance, bookings, pricing) to ensure consistency across the platform.
Configure and tune domain-specific Genie Agents for conversational analytics.
Contribute to the multi-agent orchestration architecture, including the Supervisor Agent layer.
Implement MLflow tracing and evaluation to monitor agent quality and manage versioning.
Support integration of the intelligence layer with external AI tools via the MCP Server.
Collaborate with data and product teams to translate business questions into governed, reusable data definitions.
Proven hands-on experience with Databricks (non-negotiable).
Minimum 4 years of relevant data engineering or analytics engineering experience.
Strong knowledge of data modelling, Delta Tables, Metric Views, and Genie Agents.
Excellent skills in SQL and Python.
Experience building solutions using agentic AI methods and patterns.
Familiarity with Unity Catalog or similar data governance and lineage frameworks.
Track record of delivering

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Key requirements

Design, build, and maintain data pipelines and curated datasets within Databricks Unity Catalog.
Develop and document Metric Views defining core business metrics (schedules, on-time performance, bookings, pricing) to ensure consistency across the platform.
Configure and tune domain-specific Genie Agents for conversational analytics.
Contribute to the multi-agent orchestration architecture, including the Supervisor Agent layer.
Implement MLflow tracing and evaluation to monitor agent quality and manage versioning.