> job detail
W
⚙️Data Engineer
Director, Product Management (Data Orchestration and Insights)
Workato · Palo Alto, California
// classified as
Data Engineer (Pipelines, infra, ingestion, ETL.)
posted
23d ago
location
Palo Alto, California
languages
sql
tools
aws, azure, databricks
> stack
sqlawsazuredatabricksdbticebergoraclepostgresqlsnowflakeairflowdagsterdbt
> description
<div class="content-intro"><h1><span style="font-family: helvetica, arial, sans-serif;"><strong>About Workato</strong></span></h1>
<p>Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit <span><a href="http://www.workato.com" target="_blank">www.workato.com</a></span></p>
<h1><strong>Why join us?</strong></h1>
<p><span style="font-weight: 400;">Ultimately, Workato believes in fostering a </span><strong>flexible, trust-oriented culture that empowers everyone to take full ownership of their roles</strong><span style="font-weight: 400;">. We are driven by </span><strong>innovation </strong><span style="font-weight: 400;">and looking for</span><strong> team players </strong><span style="font-weight: 400;">who want to actively build our company. </span></p>
<p><span style="font-weight: 400;">But, we also believe in </span><strong>balancing productivity with self-care</strong><span style="font-weight: 400;">. That’s why we offer all of our employees a vibrant and dynamic work environment </span><a href="http://www.workato.com/careers"><span style="font-weight: 400;">along with a multitude of benefits</span></a><span style="font-weight: 400;"> they can enjoy inside and outside of their work lives. </span></p>
<p><span style="font-weight: 400;">If this sounds right up your alley, please submit an application. We look forward to getting to know you!</span></p>
<p><span style="font-weight: 400;">Also, feel free to check out why:</span></p>
<ul>
<li style="font-weight: 400;">
<p><a href="https://www.businessinsider.com/47-enterprise-startups-to-bet-your-career-on-in-2020-2019-12"><span style="font-weight: 400;">Business Insider</span></a><span style="font-weight: 400;"> named us an “enterprise startup to bet your career on”</span></p>
</li>
<li style="font-weight: 400;">
<p><a href="https://www.forbes.com/cloud100/#a57477b5f941"><span style="font-weight: 400;">Forbes’ Cloud 100</span></a><span style="font-weight: 400;"> recognized us as one of the top 100 private cloud companies in the world</span></p>
</li>
<li style="font-weight: 400;">
<p><a href="https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html"><span style="font-weight: 400;">Deloitte Tech Fast 500</span></a><span style="font-weight: 400;"> ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America</span></p>
</li>
<li>
<p><a href="https://qz.com/work/2053446/the-best-companies-for-working-from-home/"><span style="font-weight: 400;">Quartz</span></a><span style="font-weight: 400;"> ranked us the #1 best company for remote workers</span></p>
</li>
</ul></div><p>As <strong>Director of Product Management</strong>, you will define and execute the strategy to establish Workato as the enterprise leader in data orchestration. Your goal is to build a unified platform that seamlessly orchestrates data pipelines for ETL, ELT, and Reverse ETL (data activation) - eliminating the need for fragmented tools and enabling enterprises to move data efficiently across their ecosystem.</p>
<h2><strong>What You’ll Do</strong></h2>
<h4><strong>Leadership in Enterprise Data Orchestration</strong></h4>
<ul>
<li>Develop and execute the product strategy for a unified data orchestration platform supporting ETL, ELT, and Reverse ETL (data activation) across SaaS, data warehouses, data lakes, and custom sources.</li>
<li>Define and prioritize built-in transformation capabilities and integrations with tools like DBT and Coalesce to scale ELT pipelines efficiently.</li>
<li>Ensure seamless data ingestion, movement, and activation across structured, semi-structured, and unstructured data formats.</li>
</ul>
<h4><strong>Build End-to-End Governance & Operations</strong></h4>
<ul>
<li>Embed data quality, lineage, governance, and operational analytics as core platform features, ensuring enterprises have built-in compliance and data integrity controls.</li>
<li>Develop native observability and automation tools to monitor pipeline performance, detect anomalies, and proactively enforce data governance policies.</li>
<li>Ensure the platform meets enterprise security, compliance, and scalability requirements, making Workato the go-to orchestration solution for large-scale deployments.</li>
</ul>
<h4><strong>Drive AI-Powered Innovation</strong></h4>
<ul>
<li>Leverage AI to enhance data classification, transformation recommendations, and self-healing pipelines that minimize operational overhead.</li>
<li>Integrate predictive analytics and semantic enrichment to automate data mapping, improve pipeline efficiency, and surface actionable insights.</li>
<li>Work with AI research teams to infuse machine learning into Workato’s data services, driving continuous optimization and smarter decision-making.</li>
</ul>
<h4><strong>Advanced Data Virtualization & Analytics</strong></h4>
<ul>
<li>Architect a self-service data virtualization platform that provides a self service experience, enabling users to explore and analyze data from third-party apps, data warehouses, data lakes, Workato usage data, and custom datasets in real time.</li>
<li>Develop interactive dashboards and AI-powered analytics that empower businesses to make data-driven decisions without deep technical expertise.</li>
<li>Ensure seamless cross-platform data integration to unify enterprise data landscapes and drive deeper insights.</li>
</ul>
<h4><strong> Lead Cross-Functional Execution</strong></h4>
<ul>
<li>Collaborate with engineering, UX, and go-to-market teams to ensure seamless feature adoption.</li>
<li>Act as a thought leader internally and externally, driving customer trust and enterprise adoption.</li>
</ul>
<h2><strong>Who you are</strong></h2>
<h4><strong>Leadership & Product Management</strong></h4>
<ul>
<li>12+ years of product management experience in SaaS or B2B environments, specializing in data management, data orchestration, or infrastructure products.</li>
<li>Proven success in shipping and scaling complex data products with measurable business impact.</li>
<li>Strong track record in leading cross-functional teams, influencing product strategy, and driving execution in fast-paced environments.</li>
</ul>
<h4><strong>Data Orchestration & Platform Expertise</strong></h4>
<ul>
<li>Deep expertise in ETL, ELT, Reverse ETL, and data activation pipelines.</li>
<li>Strong understanding of modern data architecture, including data lakes, data warehouses, structured and semi-structured data processing.</li>
<li>Experience with data transformation tools (DBT, Coalesce) and orchestration frameworks (Airflow, Dagster) to build scalable pipelines.</li>
<li>Knowledge of real-time data movement, databases (Oracle, SQL Server, PostgreSQL), and cloud analytics platforms (Snowflake, Databricks, BigQuery).</li>
<li>Familiarity with emerging data technologies like Open Table Format, Apache Iceberg, and their impact on enterprise data strategies.</li>
<li>Hands-on experience with data virtualization and analytics platforms to enable seamless self-service data exploration and analytics.</li>
<li>Strong background in cloud platforms (AWS, Azure, Google Cloud) and their data ecosystems.</li>
</ul>
<h4><strong>AI & Intelligent Data Automation</strong></h4>
<ul>
<li>Experience integrating AI/ML-driven insights into data management products to enhance data quality, lineage tracking, and transformation recommendations.</li>
<li>Strong understanding of predictive analytics, anomaly detection, and semantic data enrichment for operational intelligence.</li>
</ul>
<h4><strong>Security, Governance & Observability</strong></h4>
<ul>
<li>Deep knowledge of data security, compliance, and governance best practices for enterprise data platforms.</li>
<li>Experience embedding data lineage tracking, data quality validation, and operational analytics as core product functionalities.</li>
<li>Strong expertise in real-time observability, automation, and performance monitoring for data pipelines.</li>
</ul>
<h4><strong>Customer-Centric Execution</strong></h4>
<ul>
<li>Ability to deeply understand customer needs across data engineering, analytics, and business intelligence teams.</li>
<li>Proven ability to translate complex technical concepts into intuitive, user-friendly product capabilities.</li>
<li>Skilled at collaborating with engineering, UX, security, legal, and go-to-market teams to drive enterprise adoption.</li>
</ul>
<h4><strong>Analytical & Data-Driven Decision Making</strong></h4>
<ul>
<li>Strong ability to use customer research, data analytics, and competitive insights to inform product decisions.</li>
<li>Experience analyzing large-scale data platforms to optimize usage trends and pipeline performance.</li>
</ul>
<h4><strong>Educational Background</strong></h4>
<ul>
<li>Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field.</li>
<li>An MBA or advanced degree is a plus but not required.</li>
</ul>
<p><strong>(REQ ID: 2542)</strong></p>