Data Solutions Engineer

Mid to Staff Engineer Enterprise Data Exchange & Agentic Analytics (Data Explorer)

Location: Boston MA (Onsite 4 days/week)
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About Our Client

Our client is building foundational AI data and platform capabilities that enable global scale and business transformation. Their platform engineering organization is responsible for architecting robust reusable solutions that improve agility and deliver material business impact across a complex multi-business enterprise.

The Role

Our client is hiring a Mid to Staff Engineer to join a core AI/Data/Platform engineering team in Boston. This is a pivotal role focused on defining the enterprise strategy and target-state architecture for an internal enterprise data exchange capability (referred to in the posting as Data Explorer).

This role blends data platform architecture analytics modernization workflow orchestration and agentic/AI-enabled analytics. Youll set long-term direction drive cross-functional transformations and serve as a senior technical authority influencing multiple platforms teams and business functions. Onsite expectations: 4 days/week in Boston.

What Youll Own

• Enterprise Data Exchange Strategy (Data Explorer): Define the target-state architecture for governed intuitive data discovery access sharing and reuse across the organization
• Metadata Governance Foundations: Establish standards for metadata strategy semantic consistency entitlements lineage interoperability and trusted data product consumption
• Agentic Analytics Enablement: Act as senior technical authority for analyst agentsdesigning governed explainable auditable patterns that improve analyst productivity and decision support
• Workflow Orchestration Patterns: Drive reusable control patterns for workflow orchestration across business domains (scalable resilient transparent measurable)
• BI Rationalization Roadmap: Own the strategy to reduce fragmentation across BI tools metrics dashboards and user experiences; standardize KPI definitions and semantic layers

What Youll Do

• Lead design and implementation of enterprise data solutions supporting analytics operational workflows data sharing and agent-enabled analytics
• Drive cross-functional modernization efforts: KPI harmonization reporting standardization platform usage models governance adoption and cost efficiency
• Partner with senior engineering architecture analytics product and business leaders to prioritize investments and resolve complex cross-platform issues
• Mentor senior engineers and technical leadersraising the bar for platform thinking and enterprise-scale execution
• Evaluate emerging technologies across analytics workflow automation agentic systems and enterprise data platforms and translate them into actionable architectural direction
• Serve as a trusted advisor on complex initiatives spanning multiple teams and platforms with accountability for shaping decisions and driving change

What Our Client Is Looking For

• Bachelors degree in CS/Engineering/IS or related; advanced degree preferred
• 5 years in data platforms analytics engineering enterprise architecture workflow/process tech or intelligent automation operating as a senior enterprise technical leader
• Proven track record defining and delivering enterprise platform strategy/architecture across multiple domains and influencing outcomes in large matrixed orgs
• Deep experience with enterprise data exchange / catalog / marketplace / self-service data platforms (metadata governance lineage access controls interoperability adoption at scale)
• Demonstrated expertise in AI-enabled analytics and agentic systems with governed explainable auditable patterns
• Strong experience modernizing BPM/workflow orchestration capabilities and understanding how controls automation data platforms work together
• Proven success leading BI modernization and rationalization (consolidation semantic standardization KPI harmonization reporting transformation)
• Strong proficiency in SQL and Python; broad fluency across analytics platforms data architecture workflow tech and integration patterns
• Executive-level communication and influencing skills; ability to align senior stakeholders and drive change across boundaries
• Ability to mentor senior talent and elevate architecture rigor across a broad engineering organization

Why This Role

• Enterprise-scale ownership over the strategy for data discovery sharing governance and adoption
• High-leverage intersection of data platforms BI modernization workflow orchestration agentic analytics
• A seat where your architecture decisions will influence multiple platforms and business functionsnot just one teams codebase

Required Experience:

IC