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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining ETL/ELT pipelines using Databricks and SQL, with a strong focus on data quality, dimensional modeling, and integration across various platforms. Proficient in Python/PySpark and experienced in cloud data platforms, ensuring effective data synchronization and marketing engagement.
Highest-signal resume keywords
ETL/ELT Pipeline DevelopmentSQL ProficiencyPython/PySpark ExpertiseDatabricks ExperienceDimensional Data Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL/ELT Pipeline DevelopmentSQLPythonPySparkDimensional Data ModelingData Warehouse ConceptsRESTWebhooksOAuthData Quality Monitoring
Tools & Technologies
DatabricksSalesforceHubSpotAirflowAzure Data FactorySnowflakeBigQueryRedshiftDbtDealHub
Industry Keywords
Data EngineeringData IntegrationMarketing AutomationCRM PlatformsCampaign AttributionLead-Capture FlowsAudience SegmentationLifecycle MarketingData ArchitectureSchema Design
Tech Stack
Tools & technologiesAirflowAmazon RedshiftAzureBigQueryCloudETLPySparkPythonSQL
About the role
Key responsibilities & impact- Design, build, maintain, and optimize ETL/ELT pipelines across Salesforce, HubSpot, NetSuite, Stripe, DealHub, LMS, and Databricks
- Build PySpark and SQL pipelines in Databricks notebooks following established development standards
- Own Databricks–HubSpot data synchronization, including enrichment and marketing engagement flows
- Build and maintain Exchange layer pipelines for external system consumption
- Develop scheduled batch jobs and event-driven REST, webhook, and OAuth integrations
- Monitor pipeline health, configure failure and data-quality alerting, and handle incidents
- Maintain data-flow documentation, integration architecture, and troubleshooting runbooks
- Build dimensional models, curated tables, and datamarts in Databricks
- Implement identity resolution, deduplication, validation, quality monitoring, normalization, and null handling
- Support audience segmentation, lifecycle marketing, personalization, email deliverability, subscription management, and suppression-list synchronization
- Build integrations and transformation logic across marketing, sales, and operational systems
- Support website form and lead-capture flows and third-party enrichment integrations
- Maintain infrastructure for campaign attribution, channel analysis, funnel reporting, conversion analytics, lead-source tracking, and marketing ROI measurement
- Collaborate with demand generation, product marketing, sales operations, digital, marketing, sales, IT, stakeholders, and data analysts
Requirements
What you’ll need- 5+ years of experience in data engineering with hands-on pipeline development and production operations
- Strong proficiency in SQL and Python/PySpark
- Experience building and maintaining ETL/ELT pipelines using Databricks, dbt, Airflow, Azure Data Factory, or equivalent
- Hands-on experience with cloud data platforms such as Databricks, Snowflake, BigQuery, or Redshift
- Solid understanding of dimensional data modeling, fact tables, dimension tables, schema design, and data warehouse concepts
- Experience with medallion or layered data architectures, Kimball-style star schemas, and one-big-table data modeling
- Working knowledge of REST, webhooks, OAuth, and batch sync architectures
- Experience with CRM platforms such as Salesforce or HubSpot, marketing automation systems, and CPQ/quoting tools such as DealHub or similar
- Bachelor's degree in Computer Science, Information Systems, or equivalent industry experience
Benefits
Comp & perks- High-impact work directly powering marketing operations and scale
- Modern technology stack including Databricks, Delta Lake, PySpark, HubSpot, Python, and SQL
- Opportunity to shape data infrastructure during a major platform migration
- Collaborative, cross-functional environment working with marketing, sales, and IT teams
- Inclusive environment and equal opportunity employment