Data Engineer IV

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☕ Washington – Remote

☕ Washington – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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ROI Agency

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

ROI is a data driven, creative and lean Growth marketing company. We enjoy achieving guarantees and crafting your business KPIs. If you are looking to millions in revenue — in a scalable & sustainable way, JUST TELL US.

📋 Description

• Own the long-term design and architecture of the enterprise data ecosystem, including ingestion, storage, modeling, lineage, governance, and analytics layers. • Design scalable lakehouse, Delta Lake, and distributed data architectures supporting advanced analytics, operational workflows, and integration across business domains. • Lead enterprise-wide modernization projects: warehouse migrations, domain modeling redesigns, governance uplift, streaming adoption, or cross-cloud data integrations. • Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and compliance across all data teams. • Create reusable architectural patterns, frameworks, orchestrations, and platform components adopted across engineering groups. • Solve the most complex technical problems, including distributed system bottlenecks, data quality crises, lineage gaps, and multi-domain data reconciliation issues. • Guide cost optimization strategy for compute, storage, and orchestration workloads across the data platform. • Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ensure alignment with organizational strategy. • Influence leadership decisions regarding data strategy, platform investments, tooling, and sprint/roadmap priorities. • Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to raise the overall engineering bar.

🎯 Requirements

• Bachelor’s degree in CS/IT/Data Science or equivalent experience (Master’s preferred). • 10+ years experience in data engineering, data architecture, or distributed systems engineering. • Proven track record designing and implementing enterprise-scale data platforms with Lakehouse/Delta architectures. • Expert-level proficiency with SQL, Spark, Python, Databricks, Delta Lake, Azure Data Factory, and distributed processing. • Deep understanding of data modeling (conceptual, logical, physical), governance frameworks, MDM, metadata catalogs, and lineage systems. • Experience leading multi-team engineering initiatives and influencing architectural decisions at the leadership level. • Strong grounding in security, compliance, data privacy, and regulatory data handling.

🏖️ Benefits

• Due to NERC regulations US Citizenship, Green Card Hold, or Permanent Residency is required for this role.