About

• About Workato
• Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.
• Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.
• Why join us?
• Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
• But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
• If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why

• Business Insider named us an “enterprise startup to bet your career on”
• Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
• Quartz ranked us the #1 best company for remote workers
• Responsibilities
• As a senior technical contributor, you will play a critical role in shaping our data infrastructure and enabling self-service analytics across teams. This role is ideal for someone who thrives at the intersection of data engineering and business strategy, with a proven ability to design scalable systems and influence technical direction across departments.

In this role, you will be responsible for

• Own the design and long-term strategy of scalable data pipelines and modeling infrastructure, ensuring alignment with business goals and analytics needs across the company
• Mentor junior data team members on best practices in data modeling, pipeline optimization, and documentation. Contribute to building a culture of data excellence

• Integrate data from various sources, ensuring data quality and consistency

• Develop and manage ETL (Extract, Transform, Load) processes to transform raw data into usable formats

• Architect and maintain scalable, modular data models in DBT that support analytical needs across teams and enable faster time to insights

• Partner with Product, Engineering, RevOps, and Business Leadership to shape how data is ingested, transformed, and consumed across the organization

• Optimize data processing workflows for performance and scalability

• Implement data validation and quality assurance processes to ensure the accuracy and reliability of data

• Document data processes, workflows, and systems for transparency and knowledge sharing

• Utilize tools and technologies such as SQL, DBT, Snowflake, and Salesforce

• Troubleshoot and resolve data-related issues and provide support for data-related inquiries

• Stay updated with the latest industry trends and best practices in data engineering and analytics

• Ensure data security and compliance with relevant regulations and standards

• Manage and prioritize multiple projects and tasks effectively to meet deadlines

• Drive initiatives that improve data governance, model scalability, and observability, proactively identifying areas for optimization across the data stack

• Obtain Workato Automation Pro I, II, and III certifications within your first 90 days and leverage them to lead automation workflows and data quality checks across pipelines
• Requirements
• Qualifications / Experience / Technical Skills
• Bachelor’s degree or higher in Computer Science, Data/Business Analytics, Information Systems, Statistics, or relevant experience from previous employment

• 5 to 7 years of work experience in a data-related field

• Experience creating data pipelines in DBT & Snowflake

• Strong organizational skills and attention to detail are required to juggle multiple projects simultaneously

• Strategic mind who can dissect and organize analytically and for scale

• Diligent thinker who gets things done without overlooking important details
• Soft Skills / Personal Characteristics
• Self-starter with the ability to drive projects from inception to completion

• Natural drive for innovation and creative problem solving

• Exceptional attention to detail and follow-through

• Excellent interpersonal skills, high energy, and enthusiasm, team-oriented, strong cross-group collaborator

• Manage multiple concurrent projects with multiple deadlines
• For California applicants, the pay for this role may range between $100,000 - $131,000 plus variable, benefits, perks, and equity.
• (REQ ID: 1936)

• #LI-NJ1