Data Platform Engineer

The ideal candidate is passionate about working with cloud data platforms, enjoys solving complex integration challenges, and thrives in a fast-moving, collaborative environment. This role partners closely with marketing, analytics, IT, compliance, and external vendors to translate business needs into actionable, high-quality data solutions., The Senior Data Platform Engineer supports enterprise data initiatives by enabling a unified, 360?degree view of customers and stakeholders through the integration of diverse data sources into a cloud-based customer data platform (CDP). This individual designs, builds, and optimizes data pipelines and models across CRM, marketing platforms, and other enterprise systems to support personalization, analytics, and activation use cases.

This role contributes directly to campaign execution, performance measurement, and ongoing optimization by ensuring data is accessible, trusted, and ready for use across channels., * Ingest, integrate, and manage customer, stakeholder, and related datasets from internal and external sources into a cloud-based data platform

• Design and maintain scalable data models that support segmentation, analytics, and activation requirements
• Analyze complex datasets to generate insights that inform marketing strategy, campaign execution, and performance measurement
• Translate business and marketing requirements into data attributes, metrics, and models that enable personalized engagement
• Enable data activation and integrations across CRM, marketing automation platforms, and other enterprise applications
• Optimize data ingestion, transformation, and refresh processes to improve data quality, reliability, and timeliness
• Support advanced analytics and AI-driven use cases where appropriate
• Partner cross-functionally with marketing, analytics, IT, compliance, and external vendors to deliver aligned data solutions
• Clearly communicate data concepts, constraints, and insights to both technical and non-technical stakeholders
• Proactively identify data quality, integration, and modeling issues and drive them through resolution
• Recommend and implement practical, scalable solutions to complex data challenges
• Contribute to data standards, documentation, and best practices
• Perform additional duties as required, Vaco by Highspring and its parents, affiliates, and subsidiaries (“we,” “our,” or “Vaco by Highspring”) respects your privacy and are committed to providing transparent notice of our policies.
• California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here.
• Virginia residents may access our state specific policies here.
• Residents of all other states may access our policies here.
• Canadian residents may access our policies in English here and in French here.
• Residents of countries governed by GDPR may access our policies here.

• Bachelor’s degree in computer science, data science, engineering, or a related field
• 5 years of experience in data engineering, data analytics, or data platform roles supporting business users
• Strong SQL skills for data transformation and analysis; experience with Python and/or ETL tools for automation and processing
• Solid understanding of CRM platforms, cloud data architectures, and API-based integrations
• Experience working with regulated or sensitive datasets, including customer or patient-level data
• Familiarity with marketing automation platforms and CRM ecosystems is a plus
• Ability to operate effectively in a fast-paced environment with evolving priorities
• Demonstrated ability to independently troubleshoot and resolve complex data integration and quality issues
• Strong communication skills with experience collaborating across technical teams, business stakeholders, and external partners
• At least 2 years of experience working with a customer data platform (CDP) or similar technology, * Master’s degree in computer science, data science, engineering, or a related discipline

Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:

• the individual’s skill sets, experience and training;
• licensure and certification requirements;
• office location and other geographic considerations;
• other business and organizational needs.

With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring’s use of AI can be found here (https://www.highspring.com/ai-use-notices/). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client’s use of AI products in hiring.