DataOps Engineer

As a DataOps Engineer, you own the end-to-end delivery and operational uptime of ED&A infrastructure projects. You drive the alignment between complex technical requirements and business outcomes, ensuring that cloud-native automation solutions are built to spec and on time. Operating with technical autonomy, you serve as a master practitioner of DataOps, leading engineering squads through complex sprints while proactively identifying and mitigating delivery risks. You act as a catalyst for modern craft within the infrastructure lifecycle, designing and refining AI-augmented workflows to boost system quality and throughput. You build the automated structures necessary to support AI-enabled data workloads, utilizing advanced co-pilots to eliminate manual environment tracking and scale functional execution capacity., Technical Delivery: Own the end-to-end configuration, platform delivery, and deployment architectures for data infrastructure and orchestration pipelines across Snowflake, Fivetran, and dbt tracks. Drive cloud platform administration independently using Infrastructure as Code (Terraform) to provision, scale, and govern cloud environments safely across deployment targets.

Knowledge Management: Architect and mandate modular documentation frameworks across multiple shared repositories. Ensure all active environments, pipeline rules, and system configurations are fully audited and visible across engineering nodes.

Incident Response & Operational Resilience: Own operational uptime and proactive risk mitigation for core data environments. Build advanced pipeline health observability patterns inside Acceldata to capture anomalies and eliminate platform downtime processing risks.

Agile Operational Facilitation: Lead multi-disciplinary technical squads through complex engineering sprints. Manage pipeline release cadences independently, balance environment resource constraints, and resolve cross-functional roadblock metrics.

ED&A Methodologies: Operationalize and enforce DataOps validation frameworks natively across continuous integration pipelines, ensuring the infrastructure framework cleanly yields certified datasets to support enterprise agentic AI readiness.

AI Productivity: Design, refine, and embed automated AI-augmented validation workflows, code refactoring templates, and agentic prompting chains inside your own workspace environment to maximize team capacity and delivery speed.

5+ years of experience in Development Operations or Data Engineering with a focus on cloud-native automation. Proficient in managing complex workstreams using GitHub, Jira, and Smartsheet. Proven track record of delivering technical projects in a multinational SaaS environment., Deep working knowledge of Snowflake data architectures, Infrastructure as Code (Terraform), Fivetran connectivity patterns, and dbt transformation networks to design resilient data movement loops and govern multi-team CI/CD environments. Hands-on experience or familiarity with GitHub Actions, Snowflake, Fivetran, Sigma, and Atlan (or similar enterprise data platforms) is preferred.

Personal mastery of rapid automation prototyping, unit-test automation, and syntax refactoring utilizing Cursor or GitHub Copilot, balanced with design pattern fluency in modern LLM orchestration frameworks.

Data Governance & Observability: Advanced command of metadata classification frameworks within Atlan or similar tools and deep metric configuration experience utilizing modern data observability platforms to manage automated environment visibility, trace data lineage, and enforce data trust boundaries.

Operational Communication & Collaboration: Strong communication and cross-functional alignment skills, uniquely equipped to navigate operational ambiguity, guide technical decisions for engineering pods, and resolve data product constraints across partner domains.

Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you’ll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote “home office” roles also have the opportunity to come together in our offices for important moments that matter.

Workday is committed to providing reasonable accommodations Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.