Solutions Architect || Data, Databricks, Azure/AWS

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 24 Month(s)
75% Travel
Able to Provide Sponsorship

Skills

ADF
Amazon Web Services
Analytics
Artificial Intelligence
Cloud Computing
Collaboration
Continuous Delivery
Continuous Integration
Data Governance
Data Lake
Data Quality
Databricks
DevOps
ELT
Extract, Transform, Load
Git
IT Management
Leadership
Legacy Systems
Machine Learning (ML)
Meta-data Management
Microsoft Azure
Migration
Optimization
Python
Scalability
Workflow

Job Details

We are seeking an experienced Solutions Architect – Data to lead the design, modernization, and optimization of enterprise-scale data platforms. This role focuses on building and maintaining cloud-based data systems that support analytics, AI-driven solutions, and data governance initiatives.

The architect will play a key role in reviewing existing data infrastructure, planning future-state architectures, and implementing scalable, secure, and high-performance data solutions. This position requires strong architectural leadership, hands-on technical expertise, and close collaboration with business stakeholders, data engineers, and machine learning teams.

Key Responsibilities:

Design scalable data lake and data architectures using Databricks and cloud-native services

Build metadata-driven, parameterized ingestion frameworks and multi-layer data architectures

Optimize data workloads for performance, scalability, and cost

Define and enforce enterprise data governance and data quality frameworks

Design and develop robust ETL/ELT data pipelines

Architect AI-enabled solutions, including RAG workflows and prompt engineering

Lead cloud migration initiatives from legacy systems to modern data platforms

Provide architectural guidance, best practices, and technical leadership across teams

Create reusable components, standardized patterns, and technical documentation

Required Skills & Experience:

Strong expertise in cloud platforms (Azure and/or AWS)

Hands-on experience with Databricks

Advanced proficiency in Python and SQL

Extensive experience building ETL/ELT pipelines and ADF workflows

Experience designing data lakes and implementing data governance frameworks

Hands-on experience with CI/CD, DevOps practices, and Git-based development

Ability to translate complex business requirements into scalable technical architectures

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.