Job highlights

- Experience implementing Genie One or custom supervisor-agent orchestration across multiple domains
- Implement and evaluate cross-domain Genie Agent routing / orchestration and integration patterns as required
- Required Technical Skills
- Experience with reusable enablement frameworks,CI / CD automation,and Databricks cost optimization.

Semantic Genie Engineer - Databricks

Role Overview

We are looking for experienced, hands-on Semantic Genie Engineers to build trusted, business-ready semantic assets and conversational analytics experiences on OneData platform, powered by Databricks.

Resources will own delivery from data discovery and analytical modeling through Metric Views, Genie Agent configuration, validation, and production readiness, following enterprise architecture and governance standards.

Key Responsibilities

Perform data discovery, profiling, source-to-business mapping, and analytical requirements translation.

Design and optimize SQL datasets, dimensional/semantic models, views, and materialized views with clear grain and aggregation rules.

Build and maintain governed Databricks Metric Views, including measures, dimensions, relationships, and business definitions.

Configure and improve Genie Agents/Spaces with instructions, sample questions, trusted SQL patterns, and benchmark questions.

Test answer accuracy, business semantics, performance, and consistency; diagnose fan-out, double counting, and incorrect responses.

Implement and evaluate cross-domain Genie Agent routing/orchestration and integration patterns as required.

Partner with business stakeholders, data product teams, and Solution Architecture to deliver reusable, production-

ready solutions.

Required Technical Skills

SQL, Data Discovery Modeling

Advanced SQL: joins, CTEs, window functions, aggregation, deduplication, date logic, and query optimization.

Data profiling: grain, cardinality, nulls, freshness, relationships, historical/SCD behavior, and data quality.

Dimensional and semantic modeling: facts,



dimensions, conformed dimensions, KPI definitions, aggregation correctness, and fan-out prevention.

Databricks Semantic Layer

Hands-on Databricks SQL, Unity Catalog, Delta Lake, views, and materialized views.

Design and maintenance of Databricks Metric Views: measures, dimensions, joins/entities, and governed business definitions.

Understanding of data access controls, lineage, performance, and semantic consistency across consumption tools.

Genie Conversational Analytics

Hands-on Databricks Genie Agent/Space configuration, semantic grounding, instructions, and curated question patterns.

Benchmark testing, SQL/answer validation, troubleshooting, and iterative tuning for trusted business responses.

Ability to assess multi-agent routing and orchestration patterns for cross-domain analytical questions.

Engineering Practices

Git-based development, testing, documentation, release discipline, and collaboration with engineering teams.

Ability to explain complex analytical logic and results clearly to business and technical stakeholders.

Additional Skills (Nice to Have)

dbt, Python, REST APIs, MCP integration, and Databricks Apps/Streamlit.

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Experience implementing Genie One or custom supervisor-agent orchestration across multiple domains.

Power BI/Tableau semantic models and enterprise-wide KPI alignment.

Experience with reusable enablement frameworks, CI/CD automation, and Databricks cost optimization.

Ideal Contractor Profile

Hands-on engineer with 5+ years in data engineering, analytics, BI, or data platforms who can independently turn unfamiliar business data into governed semantic models and accurate, production-ready Genie experiences. Combines robust SQL and analytical judgment with business understanding, rigorous validation, and a reusable engineering mindset.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Semantic & Genie Engineer - Databricks (Jaipur)
🏢 Marktine
📍 Jaipur