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Project Delivery Specialist - Azure/Databricks Lead - Remote

Deloitte
Cincinnati, United StatesRemotefull_timeVerifiedPosted 13 Feb 2026

About the role

Project Delivery Specialist - Azure/Databricks Lead - Remote

Engineering and Product | Software Engineering

Cincinnati, Ohio, United States

Position Summary

Azure/Databricks Lead - Project Delivery Specialist

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Azure/Databricks Lead, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

 Work you’ll do/Responsibilities  

  • Lead onshore production support for Azure + Databricks workloads (batch/streaming pipelines, jobs, notebooks, clusters, SQL warehouses).
  • Own incident management (triage, severity assessment, comms, restoration) and ensure adherence to service level agreements (SLAs).
  • Drive problem management: root cause analysis (RCA), corrective actions, backlog prioritization, and recurring-issue elimination.
  • Manage change management and release readiness for platform/pipeline changes; coordinate with DevOps and product teams.
  • Oversee platform operations across common components (as applicable):
    • Azure Data Lake Storage (ADLS), Delta Lake, Unity Catalog
    • Azure Data Factory (ADF) / Synapse pipelines, Event Hubs/Kafka integrations
    • Key Vault, Private Endpoints/VNet integration, Azure Monitor/Log Analytics
  • Support data reliability: pipeline monitoring, data quality checks, reconciliation, and runbook-driven recovery.
  • Ensure security and compliance controls: role-based access control (RBAC), secrets management, audit logging, handling of sensitive data (e.g., personally identifiable information (PII)).
  • Partner with engineering on performance and cost optimization (cluster policies, autoscaling, job tuning, storage/layout optimization).
  • Lead operational documentation: runbooks, standard operating procedures (SOPs), known error database, dashboards, and support playbooks.
  • Coordinate with offshore/nearshore teams as applicable: work distribution, handoffs, escalation paths, and knowledge transfer. Manage vendor interactions (Microsoft/Databricks support cases) and ensure timely resolution and follow-through.
  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team 

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Our Hybrid Cloud & Infrastructure Engineering teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.

Qualifications

Required:

  • 5+yrs Hands-on experience supporting Azure data platforms and Databricks in production (Tier 2/3).
  • Strong troubleshooting skills across distributed data processing (Spark), pipelines, storage, permissions, and networking basics.
  • Experience with IT service management (ITSM) practices (incident/problem/change) and tools (e.g., ServiceNow, Jira).
  • Ability to lead onshore stakeholder communication and drive resolution under time pressure.
  • Bachelor's degree, preferably in Computer Science, Information Technol

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Company

Deloitte

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