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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable data solutions using Databricks, advanced SQL, and ETL/ELT methodologies. Proven ability to lead data engineering projects, optimize data pipelines, and mentor teams while ensuring data quality and performance.
Highest-signal resume keywords
Databricks SQLData EngineeringETL/ELT MethodologiesSQL Performance TuningCloud-Based Data Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data WarehousingData IntegrationSQLPythonDimensional ModelingData Pipeline OptimizationData ValidationComplex TransformationsData Quality AssuranceAnalytics Engineering
Soft Skills
Written CommunicationVerbal CommunicationStakeholder ManagementMentoringAnalytical Judgment
Tools & Technologies
DatabricksMatillionDbtSnowflakeDelta LakeDatabricks WorkflowsUnity CatalogPySpark
Industry Keywords
PharmaceuticalLife SciencesHealthcareRegulated Industry
Tech Stack
Tools & technologiesCloudETLMatillionPySparkPythonSQLUnity
About the role
Key responsibilities & impact- Lead the design, build, testing, and maintenance of scalable data solutions within Databricks
- Design, troubleshoot, and optimize complex SQL queries and transformation logic
- Own or lead data engineering workstreams and guide technical decisions
- Design and implement integrations across structured and unstructured data sources using ETL/ELT methodologies and data integration tools
- Design and review scalable data models and warehouse structures for reporting, analytics, AI, and downstream applications
- Lead or contribute to architecture and modernization of cloud-based data platforms
- Drive technical delivery practices covering development, testing, documentation, deployment, maintainability, and governance
- Lead troubleshooting and optimization for data quality, reliability, scalability, and query or pipeline performance
- Partner with client stakeholders to clarify requirements, explain tradeoffs, recommend solutions, manage technical expectations, and connect engineering decisions to business outcomes
- Collaborate across multidisciplinary teams, review technical work, share best practices, and mentor less experienced engineers and consultants
- Stay current with Databricks capabilities, data engineering methodologies, and industry best practices
- Contribute knowledge and technical leadership to the broader SDG community
Requirements
What you’ll need- Approximately 5–7+ years of experience in data engineering, data warehousing, data integration, analytics engineering, or a related technical discipline
- Demonstrated ownership of complex technical delivery
- Extensive hands-on professional experience working within Databricks, including production data engineering and analytical workloads
- Advanced experience using Databricks SQL
- Advanced SQL skills, including joins, CTEs, window functions, aggregations, complex transformations, performance tuning, and data validation
- Strong working proficiency in Python or another relevant programming or scripting language
- Deep understanding of data pipelines, ETL/ELT processes, data integration, data warehousing, transformation patterns, and production data engineering best practices
- Strong understanding of dimensional modeling and modern data modeling concepts
- Strong experience working with modern cloud environments and enterprise-scale data platforms
- Experience with modern data engineering, orchestration, or transformation tools
- Ability to lead data validation, reconciliation, troubleshooting, and performance optimization across multiple source and target systems
- Strong analytical and architectural judgment
- Strong written and verbal communication skills
- Ability to lead technical discussions, influence stakeholders, explain complex concepts clearly, and build credibility with clients
- Ability to mentor others and continuously expand technical and consulting expertise
- Consulting or other client-facing experience strongly preferred
- Experience with Matillion and/or dbt highly preferred
- Preferred experience with Databricks SQL Warehouses, Delta Lake/Delta Tables, Databricks Workflows, Unity Catalog, Snowflake, PySpark, and enterprise-scale data migration or modernization initiatives
- Experience in pharmaceutical, life sciences, healthcare, or another highly regulated industry preferred
Benefits
Comp & perks- Full-time employment in a growing high-tech industry
- Meritocratic culture supporting career advancement and professional development
- Competitive salary
- 401(k) retirement plan with employer match
- Medical, Dental, Vision, and Disability coverage
- 3+ weeks of paid vacation
- Flexible holiday schedule
- Hybrid working arrangements balancing on-site and remote work
- Continuous training and exposure to modern Data, Analytics, and AI technologies
- Collaborative environment with experienced professionals
- Meaningful client engagements