Principal, Databricks Consultant - Strategic Solution Architecture

Concentrix•Usa, TN

11d•Remote

About The Position

Concentrix is seeking a Principal, Databricks Consultant to provide strategic solution architecture and technical leadership for data, analytics, and AI platforms. The role combines presales consulting with hands-on architecture and delivery, helping clients identify high-value Databricks use cases and design solutions on Azure, AWS, or GCP. The consultant partners with sales and account teams, leads discovery and architecture discussions, and develops proposals and statements of work. The position leads the design and implementation of secure, scalable Databricks Lakehouse solutions, including Delta Lake, Unity Catalog, data pipelines, and Databricks SQL assets. It establishes engineering standards and governance practices, guides project delivery, and provides technical leadership to data engineers and analysts. The role also supports production launches, workload optimization, client enablement, and growth of the existing customer portfolio. This is a full-time, work-at-home position in the United States, listed in Tennessee. The base salary is $220,000–$270,000, plus incentives aligned with individual and company performance. The position is an immediate vacancy, and the company seeks someone who can start as soon as possible.

Requirements

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 consulting, professional services, or a similar environment.
Extensive hands-on experience designing and delivering Databricks data platforms and pipelines, including Delta Lake, Jobs/Workflows, and Databricks SQL.
Strong programming skills in at least two of Python, PySpark, and SQL, with the ability to build performant batch and streaming solutions.
Solid understanding of cloud services relevant to Databricks deployments on Azure, AWS, or GCP, including 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.
Must be legally authorized to work in the United States and reside in the United States or have a valid U.S. residential address.

Nice To Haves

Experience with large-scale data platform migrations or modernizations, such as moving from legacy ETL or warehouse tools to Databricks.
Databricks Certified Solutions Architect Champion.

Responsibilities

Partner with sales and account teams to conduct discovery, 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.
Develop proposals and statements of work, including scope, phases, estimates, risks, and assumptions.
Deliver technical presentations, whiteboard sessions, and demonstrations that explain Databricks capabilities and business value.
Address technical objections, guide architecture discussions, and build confidence with client architects and executives.
Proactively identify opportunities to expand business within the current customer base.
Lead the design and implementation of secure, scalable Databricks Lakehouse architectures, including Delta Lake, Unity Catalog, and integrations with upstream and downstream systems.
Define offerings, intellectual property, and collateral to engage new and existing customers and support new business.
Oversee batch and streaming pipelines, notebooks, and Databricks SQL assets using Spark, Python, and SQL, following medallion and other best-practice patterns.
Define and enforce engineering standards for code quality, testing, CI/CD, observability, and operational readiness.
Work with project managers and client stakeholders to plan releases, manage dependencies, mitigate risks, and deliver on time and on budget.
Provide hands-on technical leadership to data engineers and analysts, review designs and code, and resolve complex technical issues.
Implement data governance and security practices, including access control, lineage, and compliance-aligned policies.
Optimize Databricks workload performance, reliability, and cost through cluster tuning, storage strategies, and monitoring.
Create documentation, runbooks, and training materials; facilitate change management, enablement, and knowledge transfer.
Support production go-lives and post-go-live stabilization, ensuring handover to client operations or managed services teams.
Work with the specialty sales team and COE Lead to plan engagement with and addition of new customers to the existing portfolio.