Databricks Engineer with Genie

ETL/ELT Development marketing analytics marketo Power BI DevOps & CI/CD REST APIs integration Marketing Platforms PySpark/Python, TE Connectivity is seeking an experienced Databricks Data Engineer with hands-on experience in Databricks Genie (AI/BI) to build scalable marketing data products and enable conversational analytics. The engineer will design and develop robust data pipelines, curate trusted marketing datasets, and implement Genie-enabled semantic models that allow business users to explore marketing data using natural language. Genie provides governed natural-language access to enterprise data through curated business definitions and Unity Catalog governance., * Design, develop, and optimize scalable ETL/ELT pipelines using Databricks.

• Build Bronze, Silver, and Gold layer data products following Medallion Architecture.
• Develop data ingestion pipelines from CRM, Marketing Automation, Digital Marketing, Web Analytics, and ERP systems.
• Create reusable Delta Live Tables (DLT) and workflow orchestration using Databricks Workflows.
• Implement data quality, validation, reconciliation, and monitoring processes.
• Optimize Spark jobs for performance and cost efficiency.
• Build dimensional models for Marketing Analytics.
• Develop AI/BI Dashboards for business users.
• Configure and maintain Databricks Genie Agents (formerly Genie Spaces) for Marketing domain analytics.
• Curate business terminology, metrics, sample questions, and semantic definitions for Genie.
• Collaborate with Marketing stakeholders to translate business requirements into trusted analytical assets.
• Configure Unity Catalog permissions and ensure secure data access.
• Support production deployments, incident resolution, and continuous improvements.
• Participate in Agile ceremonies, sprint planning, and code reviews.

Required Technical Skills:

Databricks:

• Databricks Workspace
• Delta Lake
• Unity Catalog
• Delta Live Tables (DLT)
• Databricks Workflows
• Auto Loader
• Structured Streaming
• Databricks Asset Bundles (preferred)
• Performance Optimization
• Job Scheduling

Data Engineering:

• PySpark
• Spark SQL
• Python
• SQL
• Data Modeling
• ETL/ELT Development
• Data Quality Frameworks
• Git
• CI/CD, * Salesforce CRM
• Adobe Analytics
• Google Analytics
• Marketo
• Eloqua
• Google Ads
• LinkedIn Campaign Manager
• Email Marketing Platforms
• Customer Journey Analytics

Databricks Genie Experience (Mandatory): *

• Hands-on experience implementing Databricks Genie Agents for business users. *

• Configure Genie knowledge stores, business definitions, and semantic metadata. *

• Create trusted metrics and reusable business terminology. *

• Build natural language analytics experiences for Marketing users. *

• Improve Genie response accuracy using sample questions, business rules, joins, and semantic descriptions. *

• Support AI-powered dashboards integrated with Genie for self-service analytics. Genie uses curated metadata, business rules,
• and Unity Catalog-governed assets to answer natural-language business questions.

Marketing Analytics Experience:

Experience supporting reporting and analytics for:

• Campaign Performance
• Lead Funnel Analytics
• Customer Acquisition
• Marketing Attribution
• ROI Analysis
• Digital Marketing Performance
• Customer Segmentation
• Pipeline Analytics
• Email Campaign Analytics
• Website Traffic Analytics

Nice to Have:

• Power BI
• Tableau
• dbt
• MLflow
• AI/ML exposure
• Lakehouse Architecture
• REST APIs
• Marketing Mix Modeling
• Customer 360
• CDP Platforms, * Production-grade Databricks pipelines
• Marketing Gold Layer datasets
• AI-ready semantic models
• Genie Agent configuration
• Trusted business metrics
• Marketing dashboards
• Automated data quality framework
• Technical documentation
• Production support and optimization

• Azure
• AWS
• GCP, * Strong communication skills.
• Ability to work directly with Marketing business teams.
• Excellent analytical and problem-solving skills.
• Ability to work independently.
• Strong documentation skills.
• Experience working in Agile teams.

Education:

Bachelor’s or Master’s degree in:

• Computer Science
• Information Technology
• Data Engineering
• Related Engineering discipline

Preferred Certifications:

• Databricks Certified Data Engineer Associate
• Databricks Certified Data Engineer Professional
• Azure Data Engineer Associate (Preferred)
• AWS Data Analytics Specialty (Preferred)

$41.61 - $65.01 an hour - Contract, Pulled from the full job description

• Health insurance
• Retirement plan
• Vision insurance
• Dental insurance, The pay range that the employer in good faith reasonably expects to pay for this position is $41.61/hour - $65.01/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.