Data Vault 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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18d ago

Sr Data Engineer

IDR Healthcare, LLC. Charlotte, NC

Charlotte, NC

18d ago

Full time Senior Cloud Cloud Platform

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Job Description

We are seeking a Sr Data Engineer to join a client in Charlotte, NC on a long-term opportunity to build a modern cloud data platform utilizing Snowflake, dbt, and Python on AWS. The role emphasizes implementing Data Vault 2.0 models, automated data pipelines, and data quality and CI/CD frameworks, with opportunities to contribute to architecture and mentor junior engineers.

Responsibilities

Build a modern cloud data platform from the ground up.
Design and implement Data Vault 2.0 models.
Develop automated data pipelines.
Establish data quality controls and CI/CD frameworks.
Contribute to architectural decisions.
Mentor junior engineers.

Requirements

Extensive experience in data engineering with cloud data platforms.
Hands-on expertise with Snowflake.
Extensive experience with dbt (cloud and/or core).
Proficiency in Python development.
Extensive background with AWS.
Experience implementing Data Vault 2.0.

Technologies

Snowflake
dbt
Python
AWS
Data Vault 2.0

Benefits

Competitive compensation package.
Full benefits including medical, vision, dental, and more.
Opportunity to join an industry leading organization.
401(k) with company match.

Position Overview

The Sr Data Engineer will help build the modern cloud data platform from the ground up, with a strong emphasis on hands-on work in Snowflake and dbt. The role involves designing and implementing Data Vault 2.0 models, building automated pipelines, and establishing data quality and CI/CD frameworks, while contributing to architectural decisions and mentoring junior engineers. The team is lean with high visibility and ownership, employing a modern stack that includes Snowflake, dbt, Python, and AWS.

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