Concentrix CVG Customer Management Group Inc

Lead Databricks Consultant

• Posted 5 hours ago • Updated 5 hours ago

Full Time

On-site

USD $122,001.00 - 174,287.00 per year

Fitment

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Job Details

Skills

Presales
Data Analysis
Artificial Intelligence
Estimating
Leadership
Apache Spark
Testing
Continuous Integration
Continuous Delivery
Collaboration
Management
Budget
IT Management
Regulatory Compliance
Storage
Change Management
Documentation
Training
Facilitation
Knowledge Transfer
Customer Service
Managed Services
Articulate
Use Cases
Sales
Communication
Stakeholder Management
Presentations
Roadmaps
Customer Facing
Analytics
Professional Services
Workflow
Python
PySpark
SQL
Streaming
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
SAN
DevOps
Data Governance
Access Control
Unity
Migration
Extract
Transform
Load
Warehouse
Databricks
Insurance

Summary

Apply

Lead Databricks Consultant

Key responsibilities

Presales and solutioning

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 Google Cloud Platform).

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.

Architecture and delivery leadership

Lead the design and implementation of secure, scalable Databricks Lakehouse architectures, including Delta Lake, Unity Catalog, and integration with upstream and downstream systems.

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.

Governance, operations, and adoption

Implement data governance and security practices using Unity Catalog and related tools, including access control, lineage, and compliance aligned policies.

Optimize performance, reliability, and cost of Databricks workloads through cluster tuning, storage strategies, and monitoring.

Drive change management and enablement by creating documentation, runbooks, and training materials, and facilitating knowledge transfer to client teams.

Support production go lives and post olive stabilization, ensuring robust handover to client operations or managed services teams.

Identify and articulate opportunities for platform and use case expansion, partnering with sales to define follow on engagements.

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 Google Cloud Platform) 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).

The base salary for this position is $ 122,001 - $174,287 plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays and paid learning days.

The deadline to apply for this position is: 03/18/2026. This position is for an existing, immediate vacancy. We are currently seeking to fill this role with an individual who can start as soon as possible.

#concentrix

#WAH

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10116288
Position Id: https://jobs.concentrix.com/job/?id=R1712723
Posted 5 hours ago

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