Data Architect

Genzeon; United States; Remote; USD 140,000 - 160,000; Full time

Job summary

A leading company is seeking an experienced Data Architect with Databricks expertise to join their Data Practice team. The role involves solving complex data challenges, implementing data engineering solutions, and collaborating with various practice areas. The ideal candidate should have extensive experience in data engineering, strong client-facing skills, and a solid understanding of modern data architecture.

Qualifications

• 10+ years of experience in data engineering and analytics consulting.
• 3+ years of hands-on experience implementing Databricks solutions.

Responsibilities

• Serve as a key technical advisor specializing in Databricks implementation.
• Design and implement end-to-end data engineering solutions.

Skills

Data Engineering

Analytics Consulting

Client Relationship Management

Technical Documentation

Requirements Gathering

Tools

Databricks

Apache Spark

Delta Lake

Power BI

Tableau

Job description

Direct message the job poster from Genzeon

Data Architect with Databricks Consultant

FTE/Contract

Remote(Anywhere in /USA only)

Must have: health plan and membership experience

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, GCP)

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)

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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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