Implementation Engineer

Who We Are

Atlan is building the missing context layer for data and AI, helping enterprises close the AI value chasm. Today, 95% of AI pilots fail because AI systems don’t understand the context behind data: what it means, how it’s governed, and how it should be used.

Atlan connects to every part of the modern data and AI stack to unify this context into a single, shared layer that both humans and AI agents can rely on.
With Atlan, teams can discover, understand, and trust their data; build and collaborate on a shared body of knowledge; and activate that context across analytics, operations, and AI workflows.Trusted by global enterprises like Mastercard, Workday, General Motors, Unilever, Ralph Lauren, FOX, Nasdaq, and Medtronic, we’re backed by world-class investors including GIC, Insight Partners, Meritech, Peak XV, and Salesforce Ventures

Impact & Purpose:

• Pioneer Technical Excellence: Lead complex implementation projects that transform how organizations handle and process their data at scale.

• Improve Product Coverage: Partner closely with Product and Engineering organizations to grow the Atlan Platform and connector ecosystem.

• Bridge Technical Gaps: Partner with customers as the key point of contact to ensure successful technical project delivery.

• Drive Customer Success: Transform technical requirements into practical, efficient solutions that exceed customer expectations.

Your Mission:

• Value Delivery: Work with Fortune 500 customers to integrate their complex data estates to maximize their value with Atlan.

• Technical Leader: Guide customers through complex implementations, providing thought leadership on data engineering best practices and optimization.

• Integration Specialist: Create seamless connections between various data systems, ensuring smooth data flow and system compatibility.

• Implementation Strategist: Plan and execute implementation roadmaps while managing technical risks and dependencies.

What Makes You a Fit:

• Technical Foundation: 5+ years of experience as a data engineer, consultant or other field engineering role, with deep expertise in data pipeline development and system integration.

• Customer Excellence: Proven track record of managing technical relationships with enterprise clients and delivering successful implementations.

• Problem Solver: Strong analytical skills with the ability to translate complex technical concepts into actionable solutions.

• Communication Expert: Excellence in presenting technical solutions to both technical and non-technical stakeholders.

• Technical Mastery: Proficiency in modern data technologies, ETL processes, and implementation methodologies, and working knowledge of orchestration tools like Docker or Kubernetes.

More About Us

Atlan is building the shared context layer that enterprises need so AI can operate on trusted, governed context. The conversation has moved from data leaders asking: “Can we trust the data in our stack?” to businesses asking: “Can we trust AI inside the business?”

We are the missing infrastructure for businesses becoming AI-forward - the connective tissue between their data stack, operational systems, and AI agents.
Recognized as an industry-leading metadata, catalog, and data governance platform, we’ve been named a Leader by both Gartner and Forrester across enterprise data catalogs, metadata management, and governance.
To learn more, visit www.atlan.com and follow us on LinkedIn

Equal Opportunity Employer

Atlan is committed to building an inclusive, diverse, and authentic workplace. We do not discriminate based on race, color, religion, national origin, age, disability, sex, gender identity or expression, sexual orientation, marital status, military or veteran status, or any other legally protected characteristic.