Production Support Lead Data

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation information technology and services

Position: Production Support Lead - Data

Location: Hendron VA

Duration: 6 Months

Job Type: Temporary Assignment

Work Type: Hybrid

Job Description:

Production Support Lead - DataONE Enterprise Platform (24x7 Ops) Job Title Production Support Lead / Platform Operations Lead - DataONE (24x7 Onshore Offshore) Location Onsite/Hybrid (US Onshore) Offshore leadership coordination (India) Experience 10-15 years overall; 5 years leading production support/operations teams for enterprise platforms Work Model 24x7 coverage ownership (on-call leadership shift rotations incident commander duties).

Role Summary:

• We are seeking a highly accountable Production Support Lead to own 24x7 operational stability of the DataONE enterprise data platform.
• This role will lead onshore and offshore teams (Data Engineering SRE Data Quality) to ensure high availability reliability performance and data correctness across a platform powered by Snowflake Kafka Oracle GoldenGate and Java-based microservices hosted on Azure/Kubernetes.
• The ideal candidate is a strong operations leader with hands-on technical depth proven incident/problem management strong stakeholder communication and the ability to build a mature Ops readiness model (runbooks SOPs monitoring SLIs/SLOs automation).

Key Responsibilities:

• A) 24x7 Operations Ownership Own end-to-end production support for DataONE platform with round-the-clock coverage across onshore/offshore teams
• Establish shift model on-call rotations escalations and operational governance
• Ensure adherence to SLAs/OLAs for incidents requests data issues and platform uptime B) Incident Problem & Major Incident Management Serve as Incident Commander for Severity 1/2 outages and customer-impacting events Drive triage containment recovery and communication cadence (internal customer).
• Lead root cause analysis (RCA) corrective actions (CAPA) and prevention via automation/engineering fixes
• Implement problem management to reduce repeat incidents C) Observability Monitoring & Reliability Engineering Partner with SRE team to establish/operate: Platform health dashboards alerting and run-time instrumentation Monitoring for Snowflake workloads Kafka lag GoldenGate replication microservices health Kubernetes and data pipeline
• SLAs Define and track SLIs/SLOs error budgets and availability/performance targets D) Data Correctness & Data Quality Operations Oversee data-quality processes with DQ engineers: Source-to-target reconciliation anomaly detection threshold-based alerting Governance of data validation gates before publishing downstream datasets
• Ensure data incident handling is as rigorous as platform incidents (impact ETA mitigation prevention) E) Release Change & Environment Management Coordinate with engineering teams for release management change windows and deployment readiness
• Ensure rollback plans validation steps and post-release monitoring are standard practice Manage environment stability across dev/test/prod access provisioning and audit readiness F) Runbooks SOPs & Knowledge Management Build and maintain high-quality operational documentation: Runbooks SOPs for common tickets troubleshooting guides escalation trees Platform known issues registry and operational playbooks
• Ensure continuous knowledge acquisition and reduce dependency on individuals G) Stakeholder Management & Reporting Provide crisp outcome-driven status to customer leadership: uptime/availability incident trends backlog health repeat issues MTTR change success rate Translate technical problems into business impact and propose corrective actions H) Team Leadership & Delivery Excellence Lead and mentor a multi-discipline team: Data Engineers (platform pipelines) SREs (reliability/observability/automation)
• Data Quality Engineers (validation/reconciliation/data incidents) Drive culture of ownership operational discipline and continuous improvement

Required Skills & Qualifications:

• Operations / Leadership Strong experience leading 24x7 production operations for enterprise systems/platforms
• Deep knowledge of ITIL processes: incident/problem/change management Proven track record of improving MTTR reducing repeat incidents and operationalizing platforms
• Technical (must-have working knowledge) Snowflake: monitoring performance troubleshooting workload tuning concepts Kafka: consumer lag throughput partitions operational triage Oracle GoldenGate (or similar replication): monitoring replication health lag failure patterns
• Java microservices: logs/metrics/tracing dependency failures deployment issues Azure Kubernetes: container operations scaling pod restarts config/secrets networking basics
• Strong troubleshooting in Linux log analysis and automation (Shell/Python) Communication
• Ability to communicate clearly with non-technical stakeholders
• Strong documentation and executive status reporting skills

Preferred Skills:

• Experience supporting telecom-scale or large enterprise data platforms
• Familiarity with observability tools: Splunk Grafana Prometheus ELK Dynatrace
• Exposure to data observability/data quality tooling and automated validation frameworks
• Experience running Ops maturity initiatives (SLOs error budgets automation-first self-healing patterns)
• Key Deliverables (First 30-60 Days) Implement 24x7 support model: RACI escalation shift/on-call schedule
• Establish operational dashboards and alerts across Snowflake/Kafka/GoldenGate/services Publish runbooks SOPs for top ticket categories
• Start weekly operational reporting: incidents MTTR repeat issues backlog release health Define initial SLIs/SLOs and action plan to stabilize key failure areas

TekWissen Group is an equal opportunity employer supporting workforce diversity.