Senior Staff Data Platform Reliability Engineer

• Technical Leadership & Direction: Provide expert technical guidance and direction to an offshore contract team to ensure high-quality execution of platform operations, automation, and reliability projects. Act as the primary technical point of contact and decision-maker for the team
• Reliability & Operations: Own the operational health and performance of the data platform. Define and implement reliability goals (SLIs/SLOs) and establish sustainable mechanisms for scaling systems through automation
• Incident Management: Lead and drive incident response and management for platform-related production issues. Conduct blameless post-mortems and drive systemic enhancements in reliability and efficiency based on findings
• Observability & Monitoring: Design and implement monitoring frameworks to govern service-oriented architecture (SOA) efficiently and intelligently. Establish alerting for system health, query behavior, and performance bottlenecks

Procession and Automation (The “Ops” in DataOps)

• Automation & Platform Engineering: Reduce operational toil by building self-service workflows, “guardrails,” and infrastructure-as-code (IaC) solutions. Automate administration tasks, environment provisioning, and usage monitoring, leveraging and mentoring the offshore team to execute
• Orchestration: Managing the “traffic control” of data tasks (using tools like Airflow, Dagster, or Prefect) to ensure complex dependencies are handled efficiently

Data Governance and Security

• Access Control: Ensuring the right people have access to the right data (RBAC - Role-Based Access Control) without slowing down the business
• Data Quality Frameworks: Building automated “circuit breakers” that stop data from reaching the warehouse if it doesn’t meet quality standards (e.g., missing values or incorrect formatting)
• Compliance: Partnering with Legal/Security teams to ensure data handling meets GDPR, CCPA, or industry-specific regulations (HIPAA, SOX)

Strategic Stakeholder Management

• Capacity Planning:Managing the cloud budget (Snowflake/BigQuery/Databricks costs) and predicting how much compute power the company will need as data volume grows
• Business Alignment:Translating technical constraints into business impact. If a project is delayed, they explain why in terms of risk and data integrity rather than just “the code broke”
• Operational Support:Consult with and provide expert operational support to data engineering, product teams, and stakeholders who utilize the Data Platform. This is critical to ensuring the performance and reliability of downstream data products, Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• Experience: 6+ years of experience in SRE, DevOps, or Systems Engineering roles, with a deep focus on data infrastructure, including experience leading technical projects or teams
• Technical Direction: Proven ability to provide clear technical leadership, direction, and oversight to cross-functional or geographically distributed engineering teams (e.g., contract or offshore teams)
• Data Expertise: Deep understanding of data modeling, warehousing, and building scalable ETL/ELT pipelines
• Data Warehouse: Hands-on experience with Snowflake and DBT a must. Expert in Snowflake SQL.
• Monitoring and Automation: Expert-level hands-on experience with Terraform, Splunk, and Airflow or similar technologies required
• Programming: High proficiency in Python and programming languages such as Java, Go, or Scala
• Ingestion Frameworks: Management of ingestion frameworks like Fivetran, CData, Census and Openflow
• Data Lakes: Experience with S3, Athena and Iceberg required, * Infrastructure: Extensive experience with Kubernetes, Docker, and cloud-managed services (AWS preferred)
• Systems Knowledge: Familiarity with Unix/Linux system internals, networking, and distributed systems
• Scale: Experience in designing, analyzing, and operating large-scale distributed systems and massive data warehouses
• SRE Maturity: Strong background in cost optimization, usage governance, and maturing SRE practices within a data ecosystem

Working Conditions & Travel Requirements

• Minimal (<10%) travel for team jams or engineering wide conferences</span>
• Reliable internet access for remote working opportunities

Workiva will not provide visa sponsorship for this position. Candidates must be authorized to work in the U.S. on a permanent basis.

Salary range in the US: $151,000.00 - $242,000.00

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

At Workiva, we are building the data foundation for the next generation of AI-enabled platform. Our Data Platform Ops team is at the center of this mission, merging software development with infrastructure operations to design and manage large-scale., Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.