Databricks Technical Delivery Lead

Agilyti; United States; On-site; USD 180,000 - 230,000; Full time

Job summary

Agilyti is seeking a hands-on Technical Delivery Manager for Customer Success in the US. You will lead platform implementations and own technical outcomes for enterprise Spark/Databricks deployments, coaching engineers, triaging production issues, and communicating status to customers and stakeholders.

You will translate customer needs into engineering work streams, prioritize across engagements, and scale delivery from single accounts to multiple concurrent projects.

Qualifications

• Deep hands-on experience with Spark and Databricks, PySpark and performance tuning.
• Proven track record delivering enterprise data platform projects.
• Experience managing multi-stream delivery in fast-moving tech environments.
• Strong client-facing communication and ability to translate needs into engineering work streams.

Responsibilities

• Manage delivery of platform implementations for enterprise customers.
• Own the customer relationship on technical outcomes and timelines.
• Translate customer needs into engineering work streams and priorities.
• Coach engineers to triage and resolve production issues at live customers.
• Communicate status, risks, and blockers to customers and internal stakeholders.
• Scale delivery from single accounts to multiple concurrent engagements.

Skills

Spark

Databricks

PySpark

Delivery leadership

Customer relationships

Job description

Technical Delivery Manager, Customer Success | US-Based

ROLE SUMMARY

Our client is a fast-growing, AI-native data platform company built natively on the Databricks Lakehouse, on a mission to turn messy, disconnected enterprise data into a trusted asset that drives better decisions. We are seeking a hands‑on technical delivery leader who pairs deep Databricks/Spark engineering depth with delivery ownership and a product mindset. This is not an MDM-tools or pure‑consulting role, we need someone who can get into the platform, spot Spark anti‑patterns, and coach engineering teams through live production issues at existing customers, not just manage a project plan.

WHY THIS ROLE

• Join at an early, high‑growth stage with direct visibility to the Chief Architect and founding leadership, your fingerprints will be on how the delivery function is built, not just how it runs
• Work hands‑on with real Spark/Databricks engineering challenges at enterprise scale, not slide decks or status trackers
• Shape how the company scales technical delivery from single accounts to a full portfolio of enterprise engagements

WHAT YOU'LL DO

• Manage delivery of platform implementations for enterprise customers
• Own the customer relationship on technical outcomes and timelines
• Translate customer needs into engineering work streams and prioritize across competing demands
• Solve complex customer problems hands‑on while delegating execution to engineers
• Coach and enable existing solutions engineers to triage and resolve production issues at live customers
• Communicate status, risks, and blockers to customers and internal stakeholders
• Scale from owning single customer accounts to managing multiple concurrent engagements

WHAT YOU NEED

• Strong hands‑on expertise with Spark and Databricks, including PySpark, performance tuning, and the ability to spot anti‑patterns in existing implementations
• Track record solving hard customer problems spanning implementation, data quality, architecture, and integration
• Experience working at scale in fast‑moving tech environments
• MDM, enterprise data platforms, or data management exposure is a plus, but not a substitute for direct Databricks/Spark fluency
• Comfort with ambiguity and ability to prioritize in complex, multi‑stream environments

WHO THRIVES HERE

• You’d rather diagnose a slow Spark job yourself than wait on a ticket queue
• You’ve led delivery in fast‑moving, high‑caliber environments …
• You see data platforms as a product …