Azure Data Practice Architect

TEKsystems•Atlanta, GA

11d•$148,200 - $224,400•Remote

About The Position

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunities for people to achieve fulfillment through career success. Ready to join us? Here’s what the opportunity supported through our TGS Talent Acquisition Team Requires: Azure Data Practice Architect will serve as a technical expert in Azure Data Practice, specializing in Microsoft Fabric and Power BI. As a Practice Architect, you will design, architect, and implement scalable data solutions that enable real-time insights, robust data warehousing, and advanced analytics. With a hands-on approach, you will collaborate with cross-functional teams to deliver high-impact engagements, ensuring seamless data ingestion, modeling, and reporting capabilities. This role demands flexibility to lead diverse Azure data projects, from proof-of-concepts to enterprise-scale implementations, while fostering innovation and client success.

Requirements

Experience: 15+ years in data architecture, engineering, and analytics, with at least 8 years focused on Azure cloud data services.
Core Technical Skills: o Deep expertise in Microsoft Fabric, OneLake, shortcuts, and unified analytics. o Advanced proficiency in Power BI for real-time reporting, DAX, Power Query, and integration with Fabric/Synapse. o Proven track record in data warehousing, data modeling, and ETL/ELT processes. o Hands-on experience building Enterprise architecture and data ingestion pipelines using Azure-native tools.
Experience with AI/ML integration (e.g., Azure Machine Learning, Cognitive Services) for predictive analytics, model deployment, and embedding intelligence into data pipelines; Python, Databricks, or streaming analytics.
Hands-On Mindset: Demonstrated ability to roll up sleeves and perform technical implementation, troubleshooting, and optimization in fast-paced environments.
Flexibility: Proven versatility in leading varied Azure data engagements, from greenfield projects to migrations and modernizations.
Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical audiences, facilitate workshops.

Nice To Haves

Certifications: Microsoft Certified: Azure Data Engineer Associate, Fabric Analytics Engineer, or Power BI Data Analyst; Azure Solutions Architect Expert.

Responsibilities

Architect End-to-End Data Solutions: Design and lead the implementation of comprehensive data architectures using Microsoft Fabric, including lakehouse, data engineering, data science, and real-time analytics workloads.
Power BI Expertise: Develop and optimize interactive dashboards, reports, and visualizations in Power BI, with a focus on real-time reporting, and performance tuning for large-scale datasets.
Data Warehousing and Modeling: Build and maintain enterprise-grade data warehouses, applying best practices in dimensional modeling, star/snowflake schemas, and ensuring data quality and governance.
Data Lake Implementation: Construct layered data pipelines following the best practices of architecture to transform raw data into actionable insights, leveraging Delta Lake and Spark for efficiency.
Data Ingestion and Orchestration: Design and deploy scalable ingestion pipelines using Azure Data Factory, Synapse Pipelines, or Fabric Dataflows, supporting batch, streaming, and hybrid scenarios with tools like KQL, Event Hub.
Hands-On Delivery: Actively contribute to code development, debugging, and deployment in Azure environments, performing hands-on work as needed to unblock teams and ensure project momentum.
Engagement Leadership: Drive Azure data-related engagements end-to-end, from requirements gathering and solution scoping to deployment, optimization, and knowledge transfer, adapting to diverse client needs and technologies.
Collaboration and Innovation: Partner with stakeholders, including developers, analysts, and business leaders, to align technical solutions with business objectives; stay ahead of Azure innovations to recommend forward-thinking architectures.
Mentorship and Best Practices: Guide junior team members on Azure data patterns, conduct code reviews, and promote adherence to security, compliance, and cost-optimization standards.