Data Platform and Support Engineer, Workday
Enterprise Architecture and Data Services
$108.9-163.3k
Office located in Pleasanton, CA
Enterprise AI platform for managing HR and finance
Job no longer available
Enterprise AI platform for managing HR and finance
1001+ employees
Job no longer available
$108.9-163.3k
Office located in Pleasanton, CA
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 6+ years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business
- BS/MS in computer science or equivalent is required
- Prior experience with CRM systems (e.g. Salesforce) is desirable
- Experience building analytical solutions to Sales and Marketing teams
- Experience with very large-scale data warehouse and data engineering projects
- Experience developing low latency data processing solutions like AWS Kinesis, Kafka, Spark Stream processing
- Should be proficient in writing advanced SQLs, Expertise in performance tuning of SQLs
- Experience working with AWS data technologies like S3, EMR, Lambda, DynamoDB, Redshift etc
- Solid experience in one or more programming languages for processing of large data sets, such as Python, Scala
- Good to have experience working on Snowflake and/or Databricks
- Ability to create data models, STAR schemas for data consuming
- Extensive experience in troubleshooting data issues, analyzing end to end data pipelines and working with users in resolving issues
What the job involves
- You will be working on top priority initiatives that span new and existing technologies - all to deliver outstanding results and experiences for our customers and employees
- We are actively seeking a skilled Data Platform and Support Engineer who will play a pivotal role in ensuring the smooth functioning of our data infrastructure, enabling self-service analytics, and empowering analytical teams across the organization
- As a Data Platform and Support Engineer, you will oversee the management of our enterprise data hub, working alongside a team of dedicated data and software engineers to build and maintain a robust data ecosystem that drives decision-making at scale for internal analytical applications
- You will play a key role in ensuring the availability, reliability, and performance of our data infrastructure and systems
- You will be responsible for monitoring, maintaining, and optimizing data systems, providing technical support, and implementing proactive measures to enhance data quality and integrity
- This role requires advanced technical expertise, problem-solving skills, and a strong commitment to delivering high-quality support services
- The team is responsible for supporting Data Services, Data Warehouse, Analytics, Data Quality and Advanced Analytics/ML for multiple business functions including Sales, Marketing, Services, Support and Customer Experience
- We demonstrate leading modern cloud platforms like AWS, Reltio, Tableau, Snaplogic, MongoDB in addition to the native AWS technologies like Spark, Airflow, Redshift, Sagemaker and Kafka
- Monitor the health and performance of data systems, including databases, data warehouses, and data lakes
- Respond to data-related incidents, solve issues, and resolve them in a timely manner, including participation in on-call rotation shifts
- Conduct root cause analysis and implement corrective actions to prevent recurrence of issues
- Manage and optimize data infrastructure components such as servers, storage systems, and cloud services
- Develop and implement data quality checks, validation rules, and data cleansing procedures
- Implement security controls and compliance measures to protect sensitive data and ensure regulatory compliance
- Design and implement data backup and recovery strategies to safeguard data against loss or corruption
- Optimize the performance of data systems and processes by tuning queries, optimizing storage, and improving ETL pipeline efficiency
- Maintain comprehensive documentation, runbooks, and fix guides for data systems and processes
- Collaborate with multi-functional teams, including data engineers, data scientists, business analysts, and IT operations
- Lead or participate in data-related projects, such as system migrations, upgrades, or expansions
- Deliver training and mentorship to junior team members, sharing knowledge and standard methodologies to support their professional development
- Participate in rotational shifts to provide 24/7 support coverage for data systems, including weekends and holidays as required
- Hands-on experience with source version control, continuous integration and experience with release/organizational change delivery tools
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities.. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, WOrkday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & Executive Chair)Annel began his career at Morgan Stanley as a Corporate Finance Analyst. He then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005, where he has served as the CEO ever since.
Carl Eschenbach
(CEO)Carl joined Workday in 2022 as Co-CEO, becoming CEO in 2024. He has also been a Partner at Sequoia Capital since 2016. Previously, he spent 14 years at VMware as President and COO and 3 years at Inktomi Corporation as the VP of North America Sales.
Peter Bailis
(CTO)Prior to joining Workday in 2025, People was a VP of Engineering at Google. He also previously founded Sisu Data, where he served as the CEO for over 5 years.
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