Senior Director of Data Engineering

🕒 September 26

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CuraLinc Healthcare

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1980

🏥 Healthcare

👥 HR Tech

🤝 B2B

💰 Private equity on 2024-09

Healthcare • HR Tech • B2B

CuraLinc Healthcare is a clinical-first employee behavioral health and EAP (Employee Assistance Program) provider that delivers employer mental health benefits and care coordination. The company connects employees to clinically appropriate care—therapy, coaching, rapid-access psychiatry, substance-use disorder treatment, and 24/7 licensed clinician support—augmented by technology such as an AI Care Companion to improve engagement and early risk detection. CuraLinc emphasizes financially sustainable programs with measurable outcomes (claims include serving ~22 million members, ~4,400 clients, <1 day speed-to-care, and a strong ROI), targeting enterprise and benefits leaders seeking scalable, evidence-driven workplace mental health solutions.

📋 Description

• Conduct structured discovery with executives and functional leaders to identify unanswered business questions • Translate business questions into a prioritized roadmap of platform, data model, and analytics deliverables • Translate business strategy into data architecture and explain technical tradeoffs to non-technical stakeholders • Own and operate CuraLinc's Microsoft Fabric analytical platform alongside its AWS application architecture • Establish environment separation, release management, and validation practices for the data platform • Drive infrastructure-as-code, CI/CD, automated testing, and observability across the analytics stack • Own metric governance, including canonical definitions, lineage, quality, and the semantic layer • Unify identity and account data across CRM, financial, and clinical systems • Integrate clinical, CRM, financial, operational, application, and third-party data into governed pipelines • Build and maintain executive dashboards and self-serve reporting • Partner with Software Engineering and Product to deliver analytics through APIs, services, and client-facing applications • Advance automated, governed, and scheduled internal and client reporting • Lead, mentor, and grow the Data and Analytics team while remaining hands-on with architecture, design, code, and technical reviews • Uphold security, privacy, compliance, PHI handling, and multi-tenant isolation in a regulated healthcare environment • Build data literacy through documentation, training, and accessible tooling

🎯 Requirements

• 10+ years in data engineering, analytics engineering, software engineering, or data architecture • 5+ years of technical leadership or engineering management • Proven experience as a founding or senior data leader owning the full stack from raw data to executive dashboard • Experience maturing and operating production data platforms, including environment separation, release management, capacity planning, and incident response • Hands-on experience operating Microsoft Fabric or closely equivalent platforms such as Synapse or enterprise-scale Power BI • Experience with AWS application infrastructure • Experience owning metric definitions, semantic layers, or data governance across departments • Strong proficiency in SQL • Proficiency in at least one programming language such as Python or Java • Deep grounding in data modeling, query optimization, and analytical architecture • Excellent written and verbal communication • Ability to present findings and recommendations credibly to executives and a board • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent professional experience

🏖️ Benefits

• 100% company-paid single tier medical coverage insurance • PTO • 401(k) with match • Dental insurance • Vision insurance • Life insurance • Disability insurance • Robust benefits package