Data Architect - Databricks

About Genzeon

Delivering excellence in IT services and solutions for the retail and healthcare sectors. Genzeon is a leading provider of intelligent automation, security, compliance, cloud, and managed services. Our healthcare capabilities integrate data systems, facilitate information flow, and leverage interoperability to improve clinical and operational outcomes. Genzeon empowers retail enterprises with multichannel IT solutions that deliver a personalized experience for consumers.

Genzeon has an exciting opening for Hiring Databricks Consultant to join our dynamic team.

Databricks Consultant

FTE/Contract

Remote

Must Have: Health Plan Benefits & Membership experience

Job Description

Overview

We are seeking an experienced Databricks Consultant to join our Data Practice team. As part of our specialized data services group, you will leverage deep Databricks expertise to solve complex data challenges for our clients. The ideal candidate will combine technical Databricks platform knowledge with data strategy consulting skills to deliver high-value, scalable data solutions that drive business outcomes.

Responsibilities

Serve as a key technical advisor within our Data Practice, specializing in Databricks Lakehouse Platform implementation.

Assess clients' existing data landscapes and develop strategic roadmaps for Databricks adoption.

Design and implement end-to-end data engineering solutions using Databricks.

Modernize legacy data warehouses and data lakes by migrating to Databricks Lakehouse architecture.

Develop optimized data pipelines using Apache Spark, Delta Lake, and Databricks Workflows.

Implement data governance frameworks using Unity Catalog and other Databricks tools.

Collaborate with other practice areas (Analytics, ML/AI, Cloud) to deliver integrated solutions.

Lead client workshops and discovery sessions to gather requirements and align on solutions.

Provide thought leadership through knowledge sharing, blog posts, and community participation.

Mentor junior consultants and contribute to the growth of our Data Practice capabilities.

Requirements

10+ years of experience in data engineering and analytics consulting.

3+ years of hands-on experience implementing Databricks solutions for enterprise clients.

Strong understanding of modern data architecture patterns and the Lakehouse paradigm

Proficient in building data pipelines using Spark and Delta Lake on Databricks.

Experience integrating Databricks with broader data ecosystems and BI tools.

Ability to translate business requirements into technical solutions.

Experience in one or more cloud platforms where Databricks is deployed (AWS, Azure, Google Cloud Platform).

Strong client-facing communication skills and consulting mindset.

Technical Skills

Databricks Platform: Databricks Workflows, Unity Catalog, Databricks SQL

Data Engineering: Apache Spark, Delta Lake, ETL/ELT pipelines

Languages: Python, SQL, Scala (preferred)

Cloud Platforms: AWS, Azure, Google Cloud Platform

Data Integration: Experience with common data sources and targets

Analytics & BI: Integration with tools like Power BI, Tableau, or Looker

Consulting Skills

Requirements gathering and solution design

Technical documentation and presentation

Client relationship management

Project estimation and planning

Workshop facilitation

Change management