Production Support Manager -DigiOps

Fractal Analytics•California, CA

1d•$150,000 - $185,000

About The Position

The Production Support Manager – Digital Operations is responsible for ensuring the stability, reliability, and performance of data platforms and digital solutions built on Azure, Databricks, and modern data engineering frameworks. This role combines production support leadership, data engineering expertise, and stakeholder management, with strong focus on data quality, governance, and operational excellence.

Requirements

Strong experience in Azure Data Engineering ecosystem (ADF, ADLS, Synapse, Azure SQL)
Hands-on expertise in Databricks (PySpark, Spark optimization)
Advanced proficiency in SQL for data analysis and troubleshooting
Experience with data pipeline orchestration and workflow management
Familiarity with monitoring tools and frameworks (Azure Monitor, Log Analytics, etc.)
Experience in implementing data quality frameworks and validation checks
Understanding of data governance, metadata management, and compliance standards
Exposure to tools/processes related to data cataloging and lineage tracking
Strong knowledge of ITIL processes (Incident, Problem, Change Management)
Proven experience managing production environments and critical issue resolution
Ability to lead support teams and manage escalation matrices
Excellent client communication and stakeholder management skills
Strong analytical, problem-solving, and decision-making abilities
Ability to work in high-pressure environments and manage multiple priorities
Leadership experience in cross-functional global teams
10+ years of experience in Data Engineering / Production Support / Digital Operations
3+ years in leadership or managerial role
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Nice To Haves

Certifications in Microsoft Azure (Data Engineer Associate / Solutions Architect)
Experience in Healthcare / Life Sciences domain (good to have)
Exposure to DevOps tools (Azure DevOps, CI/CD pipelines)

Responsibilities

Lead end-to-end production support for Azure-based data platforms ensuring high availability and reliability
Manage incident, problem, and change management processes in alignment with ITIL practices
Drive root cause analysis (RCA) and implement preventive measures for recurring issues
Define and monitor SLAs, KPIs, and operational metrics for production systems
Ensure 24x7 support readiness, including on-call governance and escalation handling
Oversee data pipelines and workflows developed using Azure services (ADF, ADLS, Synapse, Databricks)
Ensure optimal performance and maintenance of Databricks workloads and Spark jobs
Collaborate with engineering teams for deployment, release management, and enhancements
Monitor data platform health, usage, and cost optimization
Establish and enforce data quality frameworks, rules, and validation processes
Ensure adherence to data governance policies, standards, and compliance requirements
Collaborate with data stewards and business teams to maintain data lineage, cataloging, and metadata management
Implement controls for data accuracy, completeness, consistency, and timeliness
Act as the primary point of contact for clients on production-related activities
Provide regular status updates, incident reports, and service reviews to stakeholders
Drive governance forums including weekly/monthly operational reviews (WOR/MOR)
Manage expectations and escalations across business, technical, and leadership stakeholders
Identify and drive automation opportunities in monitoring, alerting, and resolution workflows
Implement proactive monitoring and observability frameworks
Improve operational efficiency through process optimization and tooling enhancements
Promote adoption of best practices in DevOps, DataOps, and MLOps