2 дня назад
Data Engineering Director (Data Platform & Integration)
170 000 - 213 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering Director (Data Platform & Integration): Driving technical sales and delivery of enterprise data platform, Master Data Management, and integration engagements across Databricks, Snowflake, Azure Data Factory, Microsoft Fabric, and Azure Data Lake with an accent on solution architecture, client leadership, and full-lifecycle data design. Focus on translating complex cross-platform challenges into executable solutions, managing architecture-level risks, and using AI-native tooling to accelerate delivery.
Location: Chicago, Illinois, United States
Base pay: $170,000–$213,000 per year, plus incentive compensation.
Company
provides on-demand talent, consulting, and outsourced services through a global network of more than 2,600 experts.
What you will do
- Drive new and expanded client engagements across data platforms, Master Data Management, and enterprise integration.
- Lead technical sales conversations from discovery and solutioning through proposals, close, delivery, and account expansion.
- Act as solution architect, defining architecture direction, platform fit, integration strategy, operational data models, risks, and pricing inputs.
- Present proposals, estimates, solution narratives, executive recommendations, technical approaches, and delivery recommendations.
- Provide technical leadership during delivery, guide teams on platform standards, and resolve architecture-level issues.
- Build reusable sales assets, solution frameworks, demos, estimation models, and delivery approaches.
Requirements
- 10+ years designing and delivering enterprise data platform solutions, including pipelines, MDM implementations, service-layer integrations, and cloud migrations.
- 10+ years in professional services, consulting, systems integration, or client-facing delivery.
- Hands-on expertise across the full data lifecycle and depth in at least two of Databricks, Azure Data Factory, Snowflake, Microsoft Fabric, and Azure Data Lake.
- Strong knowledge of enterprise MDM patterns, service-layer integration architecture, and operational data model design.
- Ability to lead technical sales conversations with CDOs, enterprise architects, and data platform owners while communicating technical and business concepts clearly.
- Hands-on experience with AI-native tooling for pipeline scaffolding, schema and model generation, integration documentation, or automated data quality validation.
Nice to have
- Delivery experience in financial services, healthcare, or other regulated industries.
- Familiarity with federated data governance, data mesh architecture, or enterprise data product strategies.
Culture & Benefits
- Medical, dental, vision, life, and disability insurance, subject to eligibility.
- 401(k) Savings Plan and Employee Stock Purchase Plan.
- Professional Development Program.
- Paid time off, paid holidays, and paid sick time where legally required.
- Focus on continuous learning, human-centered design, innovation, and collaboration.
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