Data Engineer IV

Job not on LinkedIn

🕒 June 24

☕ Washington – Remote

☕ Washington – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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ROI Agency

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🤝 B2B

📣 Marketing

B2B • Marketing

ROI Agency is a data driven, creative and lean Growth marketing company that specializes in helping businesses scale their revenue sustainably. Their focus is on achieving specific guarantees and crafting key performance indicators (KPIs) for their clients, indicating a strong emphasis on measurable results and growth strategies.

📋 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.