<p>Responsibilities</p> <p>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.</p> <p>In this role, you will be responsible for:</p> <ul> <li> <p>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</p> </li><li> <p>Mentor junior data team members on best practices in data modeling, pipeline optimization, and documentation. Contribute to building a culture of data excellence</p> </li><li> <p>Integrate data from various sources, ensuring data quality and consistency</p> </li><li> <p>Develop and manage ETL (Extract, Transform, Load) processes to transform raw data into usable formats</p> </li><li> <p>Architect and maintain scalable, modular data models in DBT that support analytical needs across teams and enable faster time to insights</p> </li><li> <p>Partner with Product, Engineering, RevOps, and Business Leadership to shape how data is ingested, transformed, and consumed across the organization</p> </li><li> <p>Optimize data processing workflows for performance and scalability</p> </li><li> <p>Implement data validation and quality assurance processes to ensure the accuracy and reliability of data</p> </li><li> <p>Document data processes, workflows, and systems for transparency and knowledge sharing</p> </li><li> <p>Utilize tools and technologies such as SQL, DBT, Snowflake, and Salesforce</p> </li><li> <p>Troubleshoot and resolve data-related issues and provide support for data-related inquiries</p> </li><li> <p>Stay updated with the latest industry trends and best practices in data engineering and analytics</p> </li><li> <p>Ensure data security and compliance with relevant regulations and standards</p> </li><li> <p>Manage and prioritize multiple projects and tasks effectively to meet deadlines</p> </li><li> <p>Drive initiatives that improve data governance, model scalability, and observability, proactively identifying areas for optimization across the data stack</p> </li><li> <p>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</p> </li></ul> <p>Requirements</p> <p>Qualifications / Experience / Technical Skills</p> <ul> <li> <p>Bachelor's degree or higher in Computer Science, Data/Business Analytics, Information Systems, Statistics, or relevant experience from previous employment</p> </li><li> <p>5 to 7 years of work experience in a data-related field</p> </li><li> <p>Experience creating data pipelines in DBT & Snowflake</p> </li><li> <p>Strong organizational skills and attention to detail are required to juggle multiple projects simultaneously</p> </li><li> <p>Strategic mind who can dissect and organize analytically and for scale</p> </li><li> <p>Diligent thinker who gets things done without overlooking important details</p> </li></ul> <p>Soft Skills / Personal Characteristics</p> <ul> <li> <p>Self-starter with the ability to drive projects from inception to completion</p> </li><li> <p>Natural drive for innovation and creative problem solving</p> </li><li> <p>Exceptional attention to detail and follow-through</p> </li><li> <p>Excellent interpersonal skills, high energy, and enthusiasm, team-oriented, strong cross-group collaborator</p> </li><li> <p>Manage multiple concurrent projects with multiple deadlines</p> </li></ul> <p>For California applicants, the pay for this role may range between $100,000 - $131,000 plus variable, benefits, perks, and equity.</p> <p>(REQ ID: 1936)</p> <p>#LI-NJ1</p>