Senior Data Engineer for the MDM Data Product Team at Avenga. Responsible for provisioning data from master data customer and product systems.
About the role
- Senior Data Architect leading architecture and data activation frameworks for Unified Activation Services at Salesforce. Collaborating across teams to ensure compliance and enhance data interoperability.
Responsibilities
- Lead architecture for Unified Activation Services (UAS): Define and maintain the reference architecture, data flow patterns, and canonical schemas enabling zero-copy, domain-driven interoperability across Salesforce applications
- Standardize and scale data activation: Establish frameworks for reusable data activation pipelines (batch, streaming, API-based), ensuring consistency, compliance, and reuse across domains
- Drive Data Mesh principles: Embed data mesh practices - domain ownership, data contracts, product thinking - within UAS, enabling decentralized innovation while maintaining global consistency
- Enable AI/ML-ready data ecosystems: Design data architectures that accelerate AI/ML enablement and consumption - ensuring discoverable, high-quality, semantically enriched, and contextually governed data assets
- Wear the Customer Zero hat: Act as an early adopter of Salesforce platforms and solutions within UAS, applying and validating architectural patterns in real-world scenarios
- Work closely with product architecture teams to share feedback, lessons learned, and insights from UAS implementations, ensuring that reference architectures and activation patterns are practical, scalable, and aligned across domains
- Partner closely with the UAS product and engineering teams to deliver on the overall roadmap, ensuring architectural alignment and successful execution of initiatives defined by the UAS product team
- Champion enterprise governance and compliance: Enforce data standards, lineage, and policy controls while reducing tech debt and ensuring architectural guardrails are followed
- Bridge across domains: Collaborate with cross domain architects, engineering, and business partners across Marketing, Sales, Service, and Platform to ensure seamless activation and interoperability
- Leverage enterprise tools and building blocks: Drive adoption of approved technologies (i.e. Salesforce Data Cloud, MuleSoft, Tableau, etc.) to standardize data activation and delivery
- Mentor and influence: Partner with other domain architects to share best practices, patterns, and frameworks for unified data activation and governance
Requirements
- 10+ years of experience in data architecture, data engineering, or enterprise architecture roles
- Strong expertise in data modeling, data activation, canonical schemas, and integration architectures across cloud and SaaS environments
- Proven software and data engineering skills including designing and managing large-scale, real-time pipelines to support business-critical applications
- Experience working with Customer Data Platform (CDP) systems is required, with a focus on real-time data ingestion, transformation, and activation
- Deep understanding of data governance, metadata management, and interoperability standards
- Proven ability to define reference architectures and reusable patterns that accelerate delivery and reduce technical debt
- Experience collaborating across domains to drive data standardization and activation frameworks
- Deep expertise with AI/ML and semantic technologies (ontologies, knowledge graphs, data fabric, data mesh concepts) is a must have
- Proficiency in Salesforce technologies including Flows, Apex, Heroku and experience with Salesforce Data Cloud implementations
- Experience working with Salesforce Data360/Datacloud and Marketing Applications is a huge plus
- Deep functional knowledge of the Marketing & Sales domain is a plus
- Excellent communication, storytelling, and influence skills - able to translate complex technical ideas into clear business value
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
- Life and disability insurance
- Medical, dental, vision benefits
- Paid parental leave
- Employee stock purchasing program
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