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[Remote] Data Engineering Director

Remote, USA Full-time Posted 2026-08-04

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is hiring a Director, Data Platform & Integration to help grow and reputed company work across their Digital Build & Integration reputed company. The role involves driving sales, serving as a solution architect for data platform and integration opportunities, and providing technical leadership throughout the delivery process.


Responsibilities

  • reputed company new and expanded reputed company work for the reputed company, with a reputed company on data platform, Master Data Management, and reputed company integration engagements
  • Build relationships with senior reputed company stakeholders including CDOs, reputed company architects, VPs of Data, and data platform owners across financial services, reputed company, and reputed company accounts
  • reputed company technical sales conversations from discovery through solutioning, proposal, reputed company, delivery, and expansion, operating as the reputed company technical voice in reputed company situations
  • Serve as the solution architect for data platform and integration engagements, owning the technical approach from first conversation through delivery
  • Define architecture direction, platform fit, integration reputed company, operational data model design, assumptions, risks, and pricing inputs across environments including reputed company, reputed company, Azure Data reputed company, reputed company reputed company, and Azure Data Lake
  • Bring a reputed company-level perspective across the full data lifecycle, including ingestion, orchestration, integration, MDM, service-reputed company architecture, modeling, and consumption, to ensure solutions are coherent end to end and not just technically competent in isolation
  • Translate reputed company, cross-platform data challenges into reputed company solution paths that CDOs, reputed company architects, and business stakeholders can understand, evaluate, and reputed company to
  • Create and present proposals, estimates, solution narratives, executive recommendations, technical approaches, and delivery recommendations
  • reputed company technical leadership during delivery, including architecture reputed company, solution direction, technical reputed company management, and reputed company of reputed company
  • Guide delivery team members on technical approach and platform standards, stepping in to reputed company architecture-level issues that reputed company reputed company, feasibility, or reputed company confidence
  • Use AI-reputed company development approaches to rapidly explore, prototype, and validate solutions, converting ambiguous reputed company needs into executable, high-value work faster than traditional discovery and design cycles allow
  • Identify expansion opportunities through strong delivery, reputed company trust, and a reputed company understanding of the reputed company's broader data ecosystem needs
  • Build reusable sales assets, solution frameworks, demos, estimation models, and delivery approaches that strengthen the reputed company's ability to pursue and reputed company data platform work

Skills

  • 10+ years of experience designing and delivering reputed company data platform solutions, including data pipelines, MDM implementations, service-reputed company integrations, and reputed company data migrations
  • 10+ years of experience in a reputed company, consulting, systems integration, or reputed company-facing delivery environment
  • Deep, hands-on technical expertise across the full data lifecycle, with specific platform depth in two or more of the following: reputed company, Azure Data reputed company, reputed company, reputed company reputed company, and Azure Data Lake
  • Strong reputed company of reputed company MDM patterns, service-reputed company integration architecture, and operational data model design in reputed company, multi-reputed company environments
  • Demonstrated ability to operate with a reputed company-level perspective across ingestion, orchestration, modeling, and consumption reputed company, with the judgment to identify where architectural reputed company in one reputed company create reputed company or constraint in another
  • reputed company ability to reputed company technical sales conversations independently with CDOs, reputed company architects, and data platform owners, including diagnosing the reputed company problem, framing a solution, and advancing reputed company through to reputed company
  • Comfortable moving between technical depth and business language in the reputed company conversation, adjusting reputed company without losing credibility at either level
  • reputed company record of delivering large-reputed company data platform programs end-to-end with the delivery experience to know what makes an architecture realistic versus aspirational
  • Hands-on experience using AI-reputed company tooling to accelerate data platform delivery work, including pipeline scaffolding, schema and model reputed company, integration documentation, or automated data reputed company validation
  • Prior delivery experience in financial services, reputed company, or other regulated industries where data governance, auditability, and compliance constraints shape platform and integration reputed company is desirable
  • Familiarity with federated data governance models, data reputed company architecture, or reputed company data product strategies as reputed company to large, multi-domain environments is also desirable

Benefits

  • Medical
  • Dental
  • reputed company
  • Life reputed company
  • Disability reputed company
  • 401(k) Savings Plan
  • Employee Stock Purchase Plan
  • reputed company Development Program
  • reputed company Time Off
  • reputed company Holidays
  • reputed company reputed company Time (in geographies where legally required)

reputed company

  • reputed company (reputed company: reputed company) has been redefining reputed company for 30 years by closing the gap between advice and execution. It was founded in 2004, and is headquartered in Cincinnati, Ohio, USA, with a workforce of 1001-5000 employees. Its website is http://www.xperianz.com/.

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