Data Practice Lead

🔥 4 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Onebridge

WebsiteLinkedInAll Job Openings

201 - 500 employees

Onebridge is a BI, Data Analytics, and Enterprise Application Development consulting firm. We’ve served some of the largest healthcare, life-sciences, manufacturing, financial services, and government entities in the U.S. for over 15 years. 100% Employee owned and operated, Onebridge is a top “Best Places to Work” in Indianapolis for six years in a row.

📋 Description

• Architect and guide the implementation of scalable data solutions across modern cloud data platforms, including Databricks and Snowflake, leveraging best‑practice patterns and reference architectures. • Lead pre‑sales and business development efforts by assessing current‑state environments, identifying client pain points, comparing platform options, and justifying ROI for tailored data solutions. • Advise client executives (CTOs, CDOs) on data strategy, platform selection, modernization roadmaps, and enterprise‑scale architecture decisions. • Serve as the architectural authority during delivery, ensuring governance, quality, and alignment with original scope while acting as an escalation point for delivery teams. • Collaborate with cross‑functional teams, engineering, BI, platform, integration, and A, to drive innovation and enable data democratization. • Mentor and guide data practitioners, leading technical discussions and delivery execution without direct people‑management responsibilities. • Stay current on platform evolution and emerging capabilities across the cloud data ecosystem, including advancements in analytics, governance, and AI tooling.

🎯 Requirements

• 10+ years of experience in data engineering, data architecture, solution architecture, or related roles. • Strong hands‑on experience with modern cloud data platforms, including Databricks and/or Snowflake. • Proven ability to support pre‑sales activities, including discovery sessions, technical evaluations, demos, and proposal development. • Deep understanding of enterprise data architecture, data governance frameworks, and scalable solution design. • Experience leading or supporting platform migrations from on‑prem or legacy systems to modern cloud data platforms. • Ability to pragmatically compare data platforms (e.g., Databricks vs. Snowflake) and communicate tradeoffs, cost considerations, and ROI. • Strong client‑facing communication skills with the ability to translate complex technical concepts into clear business outcomes.

🏖️ Benefits

• Flexible work arrangements