DataOps Engineer

Posted 15 Days Ago
Be an Early Applicant
Pune, Mahārāshtra, IND
In-Office
Senior level
Cloud • Fintech • HR Tech
The Role
Own end-to-end delivery, deployment, and operational uptime for cloud-based data infrastructure. Configure Snowflake, Fivetran, and dbt environments; provision platforms with Terraform; build observability and incident-response processes; enforce DataOps validation in CI pipelines; document environments and configurations; lead technical squads through engineering sprints; and develop AI-assisted automation and validation workflows.
Summary Generated by Built In

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

In 2024, Workday launched the Enterprise Data and Analytics (ED&A) team with a mission to transform and optimize the way Workday creates and shares trusted data to drive actionable insights and data-led innovation across the enterprise.

About the Role

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.

Key Responsibilities

  • 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.

About You

Basic Qualifications:

  • 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.

Other Qualifications:

  • Modern Data Stack & Cloud Foundations: 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.

  • AI-Native Development & Ops: 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 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 [email protected], as far in advance as possible.


Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. 

  

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

  

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Skills Required

  • 5+ years of experience in DevOps or Data Engineering focused on cloud-native automation
  • Proficiency managing complex workstreams using GitHub, Jira, and Smartsheet
  • Proven experience delivering technical projects in a multinational SaaS environment
  • Deep working knowledge of Snowflake data architectures, Terraform, Fivetran connectivity patterns, and dbt transformation networks
  • Experience with AI-assisted automation prototyping, unit-test automation, and syntax refactoring using Cursor or GitHub Copilot
  • Fluency with modern LLM orchestration design patterns
  • Advanced knowledge of metadata classification frameworks in Atlan or similar tools
  • Experience configuring metrics in data observability platforms, tracing data lineage, and enforcing data trust boundaries
  • Strong communication and cross-functional collaboration skills
  • Hands-on experience or familiarity with GitHub Actions, Snowflake, Fivetran, Sigma, and Atlan or similar enterprise data platforms

Workday Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Workday and has not been reviewed or approved by Workday.

  • Healthcare Strength Health coverage is positioned as broad and well-supported, with multiple medical carrier options, virtual care access, and some locations offering onsite clinic/pharmacy services. Mental health support is described as notably strong, including therapy sessions and confidential support availability for household members.
  • Parental & Family Support Family-related benefits are portrayed as extensive, including paid bonding and caregiver leave alongside fertility, adoption, and surrogacy reimbursement. Added support like parenting resources, milk-shipping/lactation assistance during travel, and backup child/elder care is explicitly outlined.
  • Strong & Reliable Incentives Equity participation and savings-oriented programs are presented as meaningful components of total rewards, including an ESPP discount with a lookback feature. Additional programs like a student-loan pathway to earn the 401(k) match are included as financial-support enhancements.

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The Company
HQ: Pleasanton, CA
14,894 Employees
Year Founded: 2005

What We Do

Workday is a leading provider of enterprise cloud applications for finance, HR, and planning. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world’s largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.

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