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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPySparkScalaSQLTerraformUnityVault
About the role
Key responsibilities & impact- Lead and drive client working sessions focused on data architecture and data mapping, bringing clarity and direction to complex discussions with senior stakeholders.
- Design and own end-to-end Databricks Lakehouse architecture for marketing data ingestion, transformation, storage, and consumption—leveraging Unity Catalog, Delta Lake, Delta Live Tables, and Databricks SQL Warehouse.
- Design integrations between Databricks and martech platforms (Braze, CDPs, ect) to enable customer 360 views, churn prediction, media mix modeling, dynamic pricing, and lifetime value analysis.
- Design and implement robust data models—including medallion architecture, Star Schema, and Data Vault—optimized for marketing analytics workloads.
- Enable marketers to query data conversationally and generate actionable insights without SQL through Databricks Genie and AI-powered analytics.
- Support the design and implementation of AI agents using Agent Bricks and the Mosaic AI Agent Framework.
- Review and interpret technical capability maps and frameworks, connecting them to data architecture and design decisions.
- Architect data governance, security, and access control policies using Unity Catalog, including lineage tracking, audit logging, PII masking, and marketing data privacy compliance.
- Integrate Databricks workflows into CI/CD pipelines using Terraform, Git, and Azure DevOps; implement infrastructure-as-code and automated deployment for notebooks, jobs, and clusters.
- Partner with clients on roadmaps, POCs, and migrations; support pre-sales efforts with technical proposals, whiteboarding sessions, and project estimation.
- Manage your time to meet billable targets of 36+ hours per week.
- Travel up to 20% for client meetings, workshops, and onsite engagements.
Requirements
What you’ll need- 5+ years of experience in data engineering or data architecture.
- 3+ years of hands-on Databricks experience, including PySpark, SQL, and Scala.
- Proven experience integrating Databricks with Braze or similar martech platforms for marketing analytics (Salesforce Marketing Cloud, Responsys, Adobe).
- Deep expertise in Delta Lake, Unity Catalog, Delta Live Tables, structured streaming, and MLflow.
- Strong data modeling skills across medallion architecture, Star Schema, and Data Vault.
- Cloud platform experience across AWS, Azure, or GCP, with proficiency in IaC tooling such as Terraform and ARM templates.
- Track record of leading and mentoring engineering teams in consulting environments.
- Client-facing experience within an agency or consultancy required.
- Must be eligible to work in the United States or Canada without visa sponsorship, now or in the future.
Benefits
Comp & perks- Medical, dental, vision, and life insurance
- 401k with company match
- Flexible PTO policy
- Monthly tech stipend
- Paid parental leave
- In-person onboarding experience at our HQ in Indianapolis, Indiana
- Mental well-being support
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedata mappingDatabricks LakehouseUnity CatalogDelta LakeDelta Live TablesDatabricks SQL WarehousePySparkSQLScala
Soft Skills
leadershipclient-facingmentoringcommunicationtime management