Data Mesh

Data Mesh Engineer Jobs

2 jobs found

Today

Lead Data Engineer / Data Architect

Glint Tech Solutions LLC Charlotte, NC

Charlotte, NC

Today

Full time Azure Data Factory Azure Data Lake Storage Azure Synapse Analytics

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Job Description

This on-site opportunity in Charlotte, NC focuses on shaping enterprise data strategy and modernizing platforms across architecture modernization, migrations, and cloud-native microservices.

Responsibilities

Design and own enterprise data architecture to support high-volume retail eCommerce operations.
Develop and maintain ETL and ELT pipelines using Azure Data Factory, Synapse Analytics, and Databricks with PySpark.
Model conceptual, logical, and physical data structures for efficient storage and retrieval.
Implement data warehousing approaches such as dimensional modeling, star schemas, Data Mesh, Delta Lakehouse, and Data Vault.
Lead database migrations and microservices migrations toward unified, cloud-native solutions.
Integrate data from databases, APIs, and external providers via API integrations and message queues.
Embed metadata management and governance within cloud-based data platforms.
Guide and mentor cross-functional engineering teams, shaping technical strategy and stakeholder communications.

Requirements

8+ years of overall experience with at least 1 year in an Architect-level role.
3+ years of hands-on Azure Data Factory and Azure Synapse Analytics experience.
Deep Microsoft Azure expertise including Data Lake Storage, Databricks, PySpark, Cosmos DB, and PostgreSQL.
Strong SQL proficiency for complex queries, transformations, and cloud performance tuning.
Experience with Azure MI, Cosmos DB, Analysis Services, and Informix.
Proficiency in Python and Python-based ETL tools.
Shell scripting experience — Bash, Unix, or Windows.
Proven ability to lead teams, define technical strategy, and communicate across organizational levels.

Technologies

Azure Data Factory
Azure Synapse Analytics
Databricks
PySpark
Data Lake Storage
Cosmos DB
PostgreSQL
SQL
Python
Bash
Unix
Windows
Azure MI
Analysis Services
Informix
Elasticsearch
Docker
Kubernetes
Delta Lake
Delta Lakehouse
Data Mesh
Data Vault

Nice-to-have skills

Elasticsearch experience
Docker and Kubernetes familiarity
Performance tuning and pipeline optimization expertise
Azure, Databricks, or relevant cloud certifications

Company overview

Glint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United States and Canada.

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2mo ago

Senior Data Engineer (Modern Data Platforms)

Improving-Atlanta Alpharetta, GA

Alpharetta, GA

2mo ago Closed

$150k - $175k/yr Full time Senior Azure Azure Data Factory

This position is no longer accepting applications (closed Jun 19, 2026).

Job Description

Senior Data Engineer to lead the design and delivery of modern, cloud-based data platforms for clients, operating at both strategic and technical levels across Azure, AWS, Databricks, and Microsoft Fabric.

Responsibilities

Design and implement modern data platforms, including lakehouse architectures, data mesh concepts, and warehouse modernization initiatives.
Define data platform strategy, roadmaps, and best practices tailored to client needs.
Develop solutions using Azure services (Fabric, Synapse, Data Factory), AWS services (S3, Glue, Redshift), and Databricks.
Lead teams to build scalable, secure, and cost-efficient data pipelines and platforms.
Act as a trusted advisor to clients, translating business goals into technical architectures.
Establish and enforce data governance, security, and compliance frameworks.
Guide key decisions on data modeling, ingestion patterns, storage, and processing approaches.
Promote modern engineering practices such as CI/CD, DevOps, and Infrastructure as Code.
Mentor and coach engineers to foster technical growth and delivery excellence.
Contribute to pre-sales, solutioning, and proposal development as needed.

Requirements

Proven experience in data engineering or closely related roles.
Track record delivering enterprise-scale data platforms in cloud environments.
Deep expertise with Azure and/or AWS ecosystems.
Hands-on experience with Databricks and/or Microsoft Fabric.
Advanced proficiency in Python, SQL, and distributed data processing (Spark/PySpark).
Strong understanding of data modeling approaches (Kimball, Data Vault, lakehouse patterns).
Experience designing, orchestrating, and optimizing ETL/ELT at scale.
Knowledge of data governance, security, and regulatory considerations.
Experience leading technical teams and mentoring engineers.
Excellent communication skills for engaging both technical and business stakeholders.

Technologies

Azure
Azure Synapse
Azure Data Factory
Azure Fabric / Microsoft Fabric
S3
Glue
Redshift
Databricks
Python
SQL
Spark / PySpark

Benefits

401(k)
401(k) matching
Dental insurance
Health insurance
Health savings account
Life insurance
Paid time off
Professional development assistance
Retirement plan
Vision insurance

About the role

Improving is seeking a Senior Data Engineer to lead the design and delivery of modern, cloud-based data platforms for clients.
This role suits a hands-on leader capable of operating at strategic and technical levels, guiding delivery teams and building strong client relationships.
You will shape enterprise data solutions while leveraging Azure, AWS, Databricks, and Microsoft Fabric to deliver scalable, high-performing platforms.

Nice to have

Experience with real-time streaming technologies (Kafka, Event Hubs, Kinesis).
Familiarity with data mesh or domain-driven data approaches.
Experience with AI/ML data pipelines or MLOps.
Cloud certifications (Azure, AWS, Databricks).
Experience in a consulting or client-facing environment.

What success looks like

Design and deliver scalable, future-proof data solutions.
Earn the trust of clients as a technical advisor.
Elevate the capabilities of the team through mentorship and leadership.
Drive innovation and adoption of modern data practices across engagements.

Why Improving

Influence enterprise data solutions for a diverse set of clients.
Work with modern technologies across multiple cloud platforms.
Grow career through our PATH program and leadership opportunities.
Join a collaborative team that values technical excellence and strong relationships.

Pay

Salary: USD 150,000 - 175,000 per year

Work Location

Hybrid remote in Alpharetta, GA 30009

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Data Mesh Engineer Jobs

Lead Data Engineer / Data Architect

Senior Data Engineer (Modern Data Platforms)

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