Data Operations Analyst Sr

FinOps Weekly; Taylor (MI); Hybrid; USD 99,000 - 136,000; Full time

Job summary

FinOps Weekly is seeking a Senior Data Operations Analyst to uphold reliability and performance of enterprise data platforms across Azure Databricks, ADLS, Oracle, Informatica, SAS, and Cognos. The role emphasizes incident response, root-cause analysis, automation, and cost-efficient storage and pipelines.

You will own disaster recovery, governance controls, and capacity planning while mentoring analysts on the team.

Qualifications

• Bachelor’s degree or equivalent experience in a technical field.
• 5+ years of job-related work experience beyond degree requirements.
• Extensive experience with enterprise-scale cloud and on-premises data platforms.
• Background in ITIL process implementation and operational governance.

Responsibilities

• Lead reliability management for data platforms across cloud and on-premises environments.
• Respond to incidents and perform root-cause analysis with durable fixes.
• Build monitoring and observability frameworks for data pipelines and platform health.
• Design automation and infrastructure-as-code solutions to streamline operations.
• Manage migrations, releases, and upgrades with integrity controls and rollback planning.
• Improve performance, scalability, and cost efficiency of data pipelines and storage.
• Develop disaster recovery and business continuity plans meeting RTO/RPO targets.
• Apply security and governance controls and support FinOps and capacity planning.

Skills

ITIL processes

Data platform reliability

Cost optimization

Education

Bachelor’s degree in Computer Science, Information Systems, or related field

Tools

Azure Databricks

ADLS

Oracle

Informatica

SAS

Cognos

Job description

# Data Operations Analyst SrTaylorFinOps50k – 100k08/07/2026Full-timeHybridFavoriteAccess Job## Job Description## About the RoleThis position is responsible for maintaining the reliability, availability, and operational health of data platforms across cloud and on-premises environments. The core focus is incident response, root-cause analysis, automation, monitoring, and observability.The role also supports the full lifecycle of data platform changes, including migrations, releases, and upgrades. It emphasizes data integrity, rollback readiness, performance tuning, and cost-efficient storage and pipeline design.In addition, the position owns disaster recovery and business continuity planning, applies security and governance controls, and supports FinOps and capacity planning for data workloads. It also contributes to team development through mentorship and knowledge sharing with analysts.## Key Responsibilities– Lead reliability management for enterprise data platforms across Azure Databricks, ADLS, Oracle, Informatica, SAS, and Cognos. – Respond to critical incidents and perform root-cause analysis, ensuring durable fixes are implemented. – Build monitoring and observability frameworks for data pipelines, BI refreshes, and platform health using golden signals and automated checks. – Design automation and infrastructure-as-code solutions to improve operational workflows and environment provisioning. – Manage migrations, releases, and upgrades with integrity controls, rollback planning, and change-management compliance. – Improve the performance, scalability, and cost efficiency of data pipelines, queries, and storage. – Develop and test disaster recovery and business continuity plans to meet RTO/RPO targets. – Apply security and compliance controls, support FinOps and capacity planning, and mentor analysts through knowledge sharing.## Required Skills– Bachelor’s degree in Computer Science, Information Systems, or a related technical field, or equivalent education and experience. – 5+ years of job-related work experience beyond degree requirements. – Extensive experience with enterprise-scale cloud and on-premises data platforms. – Background in ITIL process implementation and operational governance.## Cloud Platforms & Technologies### Cloud Providers – Azure### Data & Analytics Platforms – Azure Databricks – ADLS – Oracle – Informatica – SAS – Cognos### Infrastructure as Code – Infrastructure as code### Monitoring & Observability – Golden signals – Automated checks## FinOps Responsibilities– Drive FinOps practices for data workloads. – Support capacity planning and resource optimization. – Enforce cost guardrails. – Improve pipeline, query, and storage efficiency to support performance and cost goals.## Why You Might Be InterestedThis role offers broad ownership across data platform reliability, automation, observability, governance, and FinOps. It is a strong fit for someone who wants to work across both cloud and on-premises environments and have direct impact on operational stability. The position also includes mentorship and knowledge-sharing responsibilities, which can help strengthen team practices. The expected salary range is $99,000–$136,000.