Data Architect

Description

• Build dashboards and reporting solutions in Power BI and Business Objects to deliver insights across HR, Finance, and Operations.
• Introduce and apply AI/ML tools (Databricks Genie Spaces, Gemini, ChatGPT, CoPilot) to accelerate innovation and automation.
• Implement data quality, lineage, and cataloging solutions.
• Develop and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, Docker, and Terraform.
• Design & implement modern data models, data lakes, data warehouses, data mesh, and cloud-native pipelines across SQL Server, Snowflake, AWS and Azure ecosystems.
• Mentor junior engineers and analysts, promoting best practices in coding, design, and data strategy.
• Serve as a trusted advisor to cross-functional teams, providing expertise in database optimization, performance tuning, and workflow automation.
• Lead the design and implementation of Change Data Capture (CDC) and data integration solutions.
• Serve as the technical leader and subject matter expert for data and AI/ML.
• Design, build, and optimize ETL pipelines using tools such as SSIS, Azure Data Factory, Alteryx, and Databricks.
• Establish and manage data catalogs and governance frameworks using tools like Azure Purview and Databricks Unity Catalog.
• Lead development collaboration efforts, including vendor evaluation and recruitment of data engineers, analysts, and data scientists as the team expands.
• Ensure data quality, lineage, and security across distributed systems.
• Identify high-value use cases for AI and predictive analytics in collaboration with stakeholders.
• Partner with stakeholders to translate business requirements into scalable technical solutions.
• Document data architectures, pipelines, and standards to support maintainability and scalability.

Requirements

• Experience and knowledge of the construction industry (construction, field operations, IoT, financials).
• Microsoft Azure Security Fundamentals
• 10+ years of progressive experience in data engineering, architecture, and analytics roles.
• Teradata Vantage Certified
• Strong background in data modeling, ETL design, governance, and performance tuning.
• In-depth knowledge of DAMA-BMBOK and DAMA International standards.
• Excellent communication skills and ability to collaborate with technical and non-technical stakeholders.
• Microsoft Azure Data Fundamentals
• Microsoft Azure Fundamentals
• Proven expertise with SQL, Python, and C# for building enterprise-grade data solutions.
• Familiarity with AI/automation tools (Databricks Genie Spaces, ChatGPT, Gemini).
• Bachelor’s degree in Computer Science, Engineering, or related field (Mechanical Engineering background a plus).
• Experience with DevOps practices (Azure DevOps, GitHub Actions, Docker, Terraform).
• Hands-on experience with cloud platforms: Azure (Azure SQL, Data Factory, Databricks, Purview) and AWS (Glue, S3).
• Proficiency with reporting/BI tools (Power BI, Tableau, Business Objects, SSRS).
• Demonstratable experience delivering IT-solutions that drove innovation.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance