Project Delivery Specialist - Azure/Databricks Lead - Remote
- 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
- 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 Technology, Computer Engineering, or related IT discipline; or equivalent experience
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
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