Lead Databricks Consultant - Strategic Solution Architecture

Key Responsibilities

• Partner with sales and account teams to run discovery sessions, understand customer objectives, and identify high value Databricks use cases.
• Shape solution visions and reference architectures for data, analytics, and AI platforms built on Databricks and cloud services (Azure, AWS, or GCP).
• Develop proposals and statements of work, including scope, phases, estimates, risks, and assumptions for Databricks engagements.
• Deliver technical presentations, whiteboard sessions, and demos that clearly communicate Databricks capabilities and business value to diverse audiences.
• Address technical objections, guide architecture discussions, and build confidence with client architects and executives during the sales cycle.
• Drive additional revenue by proactively uncovering opportunities to expand business within current customer base.
• Lead the design and implementation of secure, scalable Databricks Lakehouse architectures, including Delta Lake, Unity Catalog, and integration with upstream and downstream systems.
• Pro-actively define offerings, IP and associated collateral that will resonate with both new/existing customers and help close new business.
• Oversee the build of batch and streaming data pipelines, notebooks, and Databricks SQL assets using Spark, Python, and SQL, following medallion and other best practice patterns.
• Define and enforce engineering standards, including code quality, testing, CI/CD, observability, and operational readiness for Databricks workloads.
• Collaborate with project managers and client stakeholders to plan releases, manage dependencies, mitigate risks, and ensure on time, on budget delivery.
• Provide hands on technical leadership to data engineers and analysts, reviewing designs and code, and unblocking complex technical issues.

Required Qualifications

• Excellent communication, stakeholder management, and presentation skills, with the ability to influence technical and nontechnical audiences.
• Demonstrated ability to run workshops, gather requirements, and translate business needs into technical designs and phased roadmaps.
• Proven experience leading client facing data or analytics projects in a consulting, professional services, or similar environment.
• Extensive hands-on experience designing and delivering data platforms and pipelines on Databricks, including Delta Lake, Jobs/Workflows, and Databricks SQL.
• Strong programming skills in at least two of: Python, PySpark, and SQL, with demonstrated ability to build performant batch and streaming solutions.
• Solid understanding of cloud services (Azure, AWS, or GCP) relevant to Databricks deployments, such as storage, networking, identity, and DevOps tooling.
• Experience implementing data governance, security, and access control in Lakehouse or data platform environments using Unity Catalog or similar tools.

Preferred Qualifications

• Experience with largescale data platform migrations or modernizations (e.g., from legacy ETL/warehouse tools to Databricks).

Pay

$170,000 - $225,000 plus incentives that align with individual and company performance.

Schedule

Not specified.

Benefits

• Medical, dental, and vision insurance
• Comprehensive employee assistance program
• 401(k) retirement plan
• Paid time off and holidays
• Paid learning days