Data Platform Delivery and Operations - Supervising Associate
Ernst and Young20 days ago
Dallas, TX, USAMid Level / Senior
H1B sponsor
Base Salary
$87k - $185k/yr
Responsibilities
- Execute and coordinate technical work across the design, development, testing, deployment, and production support of enterprise data solutions.
- Manage defined technical deliverables and workstreams, escalating risks, dependencies, and decisions when required.
- Investigate technical and production issues, perform root-cause analysis, and coordinate fixes across development, testing, and business teams.
- Review code, configurations, data models, data pipelines, business logic, and technical documentation for completeness and adherence to standards.
- Translate stakeholder requirements into technical tasks, acceptance criteria, and delivery plans.
- Support quality-assurance and user-acceptance testing, including test-case preparation, defect investigation, resolution tracking, and fix validation.
- Produce and maintain technical specifications, process documentation, operating procedures, support guides, and knowledge-transfer materials.
- Provide day-to-day technical guidance, share leading practices, mentor colleagues, and promote consistent development, testing, and documentation standards.
- Support onshore and offshore transitions through knowledge transfer, handovers, dependency tracking, and post-transition stabilization.
- Coordinate across geographies and time zones to ensure technical issues are assigned, tracked, and resolved.
Requirements
- Bachelor’s degree in Computer Science or an equivalent technology-related or quantitative discipline with a significant computing component.
- 2–5 years of progressive professional experience in data engineering, data platforms, analytics engineering, business intelligence, or related technology-delivery roles.
- Hands-on experience developing or supporting data and analytics solutions using Azure Databricks and/or Microsoft Fabric, with at least one platform required.
- Experience building, maintaining, or troubleshooting data pipelines and integrations across multiple systems and data sources.
- Experience supporting the design, development, testing, deployment, and production operation of enterprise data solutions.
- Experience independently managing defined technical deliverables or workstreams and investigating technical issues through root-cause analysis.
- Experience reviewing technical outputs, data pipelines, business logic, and supporting documentation.
- Experience supporting testing activities, technical documentation, operational documentation, and onshore/offshore transitions.
- Preferred experience with Azure AI Foundry; Databricks Genie; Microsoft Fabric Data Agents; comparable agent-based technologies; generative AI; natural-language analytics; conversational data experiences; or AI-enabled business insights.
- Preferred experience with Power BI, semantic models, DAX, Power Query, or related Microsoft analytics technologies.
- Relevant Microsoft Azure, Databricks, or Microsoft Fabric certifications are preferred.
- Strong data-engineering knowledge, communication skills, judgment, collaboration, and ability to provide technical guidance as an individual contributor.
Benefits
- Comprehensive compensation and benefits package including medical and dental coverage, pension, and 401(k) plans.
- Paid time off options include flexible vacation, EY Paid Holidays, winter and summer breaks, personal/family care, and other leaves of absence.
- Inclusive culture and opportunities for professional growth and personal fulfillment.
- Position is available across numerous U.S. locations, including Dallas, Boston, New York, Washington, Austin, Chicago, Houston, and others.
- Applications are accepted on an ongoing basis, and applicants should limit themselves to two applications within a six-month period.
Tech Stack
Databricks
Categories
Data Engineering
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.