Data Architect

eNGINE; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Schedule flexibility

Paid training/certifications

Challenging projects

Job summary

A technical placement firm is hiring a Technical Data Architect in the United States. This role is critical in designing and optimizing data solutions using Azure and Databricks. The ideal candidate has over 7 years of experience, strong skills in SQL and data pipelines, and expertise in data architecture principles. Join us to make a significant impact in the data engineering space.

Qualifications

• 7+ years of experience in data engineering, data warehousing, or data architecture.
• Recent hands-on experience in Azure-based environments.
• Experience designing and maintaining scalable, production-grade data infrastructure.

Responsibilities

• Design and implement data architecture solutions across Azure and Databricks.
• Develop and maintain efficient and scalable data pipelines using Azure Data Factory, Databricks, PySpark, and SQL.
• Collaborate with engineering and analytics teams to translate business requirements into data models.

Skills

Azure Data Factory

Azure Databricks

SQL

PySpark

Python

Data warehousing concepts

Agile delivery

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Job description

Direct message the job poster from eNGINE

eNGINE builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our Consulting Workforce is encouraged to enjoy career fulfillment in the form of challenging projects, schedule flexibility, and paid training/certifications. Successful outcomes start and finish with eNGINE.

eNGINE is hiring a Technical Data Architect, a key contributor in the design, development, and optimization of our enterprise data warehouse and data engineering ecosystem built on Azure and Databricks. This role combines hands‑on technical implementation with architectural leadership, ensuring data solutions are performant, scalable, and aligned with business and analytical needs.

Key Responsibilities

• Design and implement data architecture solutions across Azure and Databricks, including data lakes, data models, and integration frameworks.
• Develop and maintain efficient and scalable data pipelines using Azure Data Factory, Databricks, PySpark, and SQL.
• Collaborate with engineering and analytics teams to translate business requirements into data models, pipelines, and reusable frameworks.
• Establish technical standards for data ingestion, transformation, and quality assurance, ensuring consistency across the enterprise.
• Monitor, optimize, and troubleshoot ETL/ELT workflows and data infrastructure for performance, scalability, and cost efficiency.
• Contribute hands‑on development and code reviews, ensuring clean, maintainable, and production‑ready solutions.
• Implement data governance and security best practices, including access controls, auditing, and data lineage documentation.
• Evaluate and recommend tools, patterns, and techniques to improve data processing, storage, and delivery within the Azure ecosystem.
• Mentor engineers in modern data architecture principles, performance tuning, and automation practices.
• Document architecture designs, data flows, standards, and operational procedures to support ongoing maintenance and scalability.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in data engineering, data warehousing, or data architecture, with recent hands‑on experience in Azure‑based environments.
• Expertise with Azure Data Factory, Azure Databricks, and Azure Data Lake services.
• Proficient in SQL, PySpark, and Python for data transformation, scripting, and automation.
• Strong understanding of data warehousing concepts, including dimensional modeling, data normalization, and ETL/ELT pipelines.
• Experience designing and maintaining scalable, production‑grade data infrastructure in a cloud environment.
• Familiarity with data governance, quality frameworks, and metadata management.
• Strong collaboration skills and the ability to communicate technical concepts to non‑technical audiences.
• Experience with Agile delivery, CI/CD practices, and version control using Azure DevOps (ADO) or Git.

No C2C/Sponsorship/Relocation available for this role.

Apply today and see how eNGINE can make a difference in your career!