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Sr Data Product Engineer x3

Prosum

Boulder, CO

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JOB DETAILS
SALARY
$60–$64 Per Hour
SKILLS
Access Control, Agile Programming Methodologies, Amazon Web Services (AWS), Analysis Skills, Architectural Design, Architectural Services, Business Model, Cloud Computing, Communication Skills, Cross-Functional, Data Analysis, Data Modeling, Data Quality, Data Sets, Distributed Computing, Ecosystems, Enterprise Applications, Enterprise Architecture, Enterprise Data Integration, Logic Design, Mergers and Acquisitions, Metadata, Microsoft Windows Azure, Privacy Regulations, Problem Solving Skills, Product Engineering, Quality Management, Regulatory Compliance, SQL (Structured Query Language), Salesforce.com, Scrum Project Management and Software Development, Snowflake Schema, Telecommunications, Transformation Tools
LOCATION
Boulder, CO
POSTED
30+ days ago

Senior Data Product Engineer
Pay Range: $60/hour to $64/hour 
Position Overview
We are seeking a Senior Data Product Engineer to lead a strategic data architecture initiative focused on designing and implementing a framework to separate and govern regional data (Europe and United States) within a Snowflake environment.

This is a highly analytical and architecture-focused role supporting a post-migration environment. The Snowflake platform is already in place; the primary focus is on deep data discovery, lineage validation, metadata analysis, and the design of a scalable framework for regional data separation across a complex, multi-system enterprise landscape.

The ideal candidate is highly technical, comfortable working in ambiguous environments, and experienced in enterprise data ecosystems shaped by mergers and acquisitions.
Key ResponsibilitiesData Discovery & Analysis
  • Conduct deep analysis across enterprise applications to identify data sources, ownership, and data lineage
  • Perform detailed investigation of legacy systems across acquired organizations
  • Trace end-to-end data flows across Snowflake, Salesforce, AWS, and Azure environments
  • Write and execute complex SQL queries to validate datasets and business logic
  • Define and document business rules (e.g., customer definitions and regional classifications)
  • Spend significant time performing hands-on data analysis and investigation
Data Architecture & Design
  • Design a scalable Snowflake architecture framework to support regional (EU vs. US) data separation
  • Develop a repeatable architecture and implementation playbook for data segmentation
  • Partner with architecture and engineering teams to validate design decisions
  • Contribute to long-term improvements of enterprise data platform architecture
Data Governance & Lineage
  • Collaborate with data governance, data quality, and metadata management teams
  • Ensure data lineage is documented, traceable, and compliant with governance standards
  • Support implementation of data access controls and regional data segmentation policies
  • Align solutions with regulatory, privacy, and compliance requirements
Cross-Functional Collaboration
  • Partner with business stakeholders, product teams, and regional teams (including Europe-based partners)
  • Work closely with data architecture, governance, and engineering teams
  • Participate in Agile/Scrum delivery cycles (2-week sprints)
  • Communicate findings, risks, and architectural recommendations to technical and business audiences
Required Qualifications
  • Strong hands-on experience with Snowflake architecture and data modeling
  • Advanced SQL development and data analysis skills
  • Experience working with Salesforce data ecosystems
  • Background in mergers and acquisitions (M&A) environments, preferably within telecommunications or large-scale enterprises
  • Experience working with multi-cloud environments (AWS and Azure)
  • Strong understanding of data governance, data lineage, and metadata management
  • Proven ability to work independently in complex, ambiguous environments
Preferred Qualifications
  • Experience working with DBT or similar data transformation tools
  • Familiarity with large-scale enterprise data integrations and system consolidation efforts
  • Experience working with highly siloed or legacy application environments
  • Exposure to telecom, infrastructure, or large distributed enterprise data systems
  • Experience supporting or designing data separation, segmentation, or residency programs
Core Competencies
  • Snowflake Data Architecture
  • Data Lineage & Metadata Management
  • Advanced SQL & Data Investigation
  • Enterprise Data Governance
  • Salesforce Data Integration
  • AWS & Azure Data Ecosystems
  • M&A Data Integration
  • Data Modeling & Business Logic Design
  • Cross-Functional Collaboration
  • Analytical Problem Solving

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