About this role
Sr Data Engineer supporting marketing and marketing measurement by designing and optimizing data pipelines and models. The role integrates marketing data across media, owned digital platforms, and social channels to enable performance measurement and insights.
Key Responsibilities
- Architect and maintain data pipelines integrating marketing data
- Translate marketing business requirements into scalable data solutions
- Develop complex SQL transformations for performance measurement and reporting
- Implement ETL workflows using Informatica and Databricks
- Perform data validation, troubleshooting, and quality assurance checks
Technical Overview
Builds enterprise marketing measurement data pipelines using SQL transformations and ETL workflows with Informatica and cloud platforms including Snowflake and Databricks. Applies data modeling and validation/QA to ensure trusted, scalable analytics while partnering with marketing, analytics, and data science teams in an Agile environment.
Ideal Candidate
The ideal candidate is a senior data engineer with 4+ years building enterprise analytics solutions, with advanced SQL and hands-on ETL using Informatica. They have strong cloud data platform experience (Snowflake and Databricks) and can deliver marketing measurement data pipelines that support performance insights across channels.
Must-Have Skills
Four or more years of experience in data engineering or a related role supporting enterprisescale analytics solutionsAdvanced proficiency in SQL for data transformation and analysisHandson experience with cloud data platformsincluding Snowflake and DatabricksStrong experience with ETL tools and frameworksparticularly InformaticaSolid understanding of data modeling concepts and database design principlesProficiency in Python or PySpark for data processing and automationPerform data validationtroubleshootingand quality assurance checks
Nice-to-Have Skills
Experience supporting marketing analyticsmedia measurementdigital analyticsor social reportingExperience in data governanceprivacyand compliance practices within Marketing
Tools & Platforms
SQLInformaticaDatabricksSnowflakePythonPySparkAgile ceremonies
Required Skills
data pipelinesdata modelsSQL transformationsETL workflowsInformaticaDatabricksSnowflakePythonPySparkdata validationquality assurance checksdata modelingdatabase design principlesdata governanceAgile ceremoniesmarketing performance measurementmedia spendimpressionsengagementconversiondigital behavior
Hard Skills
Data pipelinesData modelsmarketing performance measuremententerprise data environmentSQLSQL transformationsdata modelingdata validationquality assurance checkspipeline performance monitoringETL workflowsInformaticaDatabricksSnowflakePythonPySparkdatabase design principlesdata governanceprivacy and compliance practicesAgile ceremonies
Soft Skills
Strong communication skillsCollaborative approachPartnership with technical and nontechnical partnersProblem-solving skillsAttention to data quality and detailDocumentation and standards adoption
Keywords for Your Resume
Sr Data EngineerData Engineerdata pipelinesdata modelsdata pipelineenterprise data environmentSQLAdvanced proficiency in SQLSQL transformationsdata modelingdatabase design principlesETLETL workflowsInformaticaDatabricksSnowflakePythonPySparkdata validationquality assurancedata governanceprivacyAgile ceremoniesmarketing performance measurementmedia spendimpressionsengagementconversiondigital behavior
Deal Breakers
Four or more years of experience in data engineering or a related role, Advanced proficiency in SQL for data transformation and analysis, Hands-on experience with Snowflake and Databricks, Strong experience with Informatica
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile