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About the Role

We are seeking a highly skilled Lead Data Engineer with strong expertise in Microsoft Fabric and Azure analytics ecosystem to design and deliver modern, scalable data platforms. This role requires expertise in designing, developing, and deploying secure, scalable, and high-performance cloud-native analytics solutions, mentoring engineering teams, and close collaboration with architects, AI Engineers, Data Scientists, and business stakeholders to deliver impactful, data-driven solutions.

Responsibilities

Actively involved in requirement gathering workshops from customers, translating the functional requirements into technical solutions, and translating complex technical concepts into actionable insights for stakeholders
Actively participates in architectural discussions independently or under guidance/supervision from Practice Architect to design and develop effective, efficient, reliable, secure, scalable, and cost-optimized data engineering solutions as per the overall data management strategy
Design and implement modern data platform architectures using Microsoft Fabric, including: OneLake-based data Lakehouse architectures, Data Factory pipelines within Fabric, Synapse Data Engineering and Data Warehousing experiences
Develop scalable data ingestion, transformation, and orchestration pipelines using Fabric-native tools and Azure services
Design high-performance Lakehouse and Warehouse models following best practices (medallion architecture, dimensional modeling)
Integrate Azure services such as Azure Data Factory, ADLS Gen2, Azure SQL, Databricks (optional)
Build interactive and scalable Power BI semantic models and reports integrated with Fabric
Implement CI/CD pipelines (Azure DevOps/GitHub) for data and analytics workloads
Ensure adherence to data governance, security, and compliance standards
Mentor and guide junior engineers, drive best practices, and lead POD delivery
Contribute to solution accelerators, reusable frameworks, and pre-sales activities
Create prototypes and evaluate emerging tools and methodologies to drive innovation within the team
Occasional support to Sales and Pre-Sales partners to convert opportunity to revenue through thought leadership in the designated area of expertise
Lead POD/team delivery and ensure high-quality, timely execution
Mentor junior engineers and conduct knowledge-sharing sessions
Participate in Agile ceremonies (planning, retrospectives, backlog grooming)
Function as a technical point of contact for stakeholders and clients

Requirements

8 or more years of experience in data engineering with Microsoft technologies
Deep hands-on expertise in Microsoft Azure Fabric platform (OneLake, Lakehouse, Data Factory pipelines, Synapse Data Engineering, Power BI)
Preferably some experience with Azure AI/ML services
Ability to work cross-functionally with product managers, business stakeholders, and engineering teams
Passion for staying updated with the latest cloud and AI/ML technologies and ability to evaluate and adopt emerging tools and methodologies
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
8 or more years of experience in Data Engineering, with at least 3 or more years in Azure ecosystem
Strong hands-on expertise in Microsoft Fabric, including: OneLake & Lakehouse architecture, Data Factory in Fabric, Synapse Data Engineering / Data Warehousing, Power BI integration with Fabric
Proficiency in Python, PySpark, SQL, and Spark-based processing
Strong experience building data pipelines (batch and streaming)
Expertise in data modeling (star/snowflake schemas, medallion architecture)
Experience with Azure data services: Azure Data Factory / Synapse Pipelines, ADLS Gen2, Azure SQL / SQL MI
Experience in CI/CD, version control, and DevOps practices
Strong understanding of data governance, security, and access control (RBAC, IAM, encryption)
Experience working with structured, semi-structured, and unstructured data sources
Strong problem-solving, communication, and stakeholder management skills
Excellent verbal and written communication skills.

Skills

Microsoft Fabric
Azure analytics ecosystem
OneLake
Lakehouse
Data Factory pipelines
Synapse Data Engineering
Power BI
Azure AI/ML services
Python
PySpark
SQL
Spark-based processing
Data pipelines (batch and streaming)
Data modeling (star/snowflake schemas, medallion architecture)
Azure Data Factory
ADLS Gen2
Azure SQL
SQL MI
CI/CD
Azure DevOps
GitHub
Version control
DevOps practices
Data governance
Security
Access control (RBAC, IAM, encryption)
Structured data
Semi-structured data
Unstructured data
Problem-solving
Communication
Stakeholder management
Cloud technologies
AI/ML technologies
Databricks (optional)
Azure services
Real-time analytics
Streaming architecture
Data governance tools (Purview or equivalent)
Enterprise-scale data platforms

Location

Austin, TX

Work Type

Permanent
Fully remote

Experience Level

8 or more years of experience in data engineering
At least 3 or more years in Azure ecosystem

Education Level

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

Salary/Compensations

$127100.00 - $190700.00/yr

Benefits

Medical, Dental, and Vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life and AD&D for employee and dependents)
Short and Long-Term Disability
Health Spending Account (HSA)
Transportation Benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)

About the Company

TEKsystems Global Services (TGS) is 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.
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

Equal Opportunity

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.