Databricks Practice Architect II

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 opportunity 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:

Join our Data Modernization and Gen AI practice and take the lead across designing, building, and maintaining data pipelines and analytics solutions on the Databricks cloud platform and collaborate with data analysts and customer stakeholders to ensure the availability, scalability, and reliability of data.

We are seeking a highly skilled and motivated Databricks Data and AI Practice Architect with at least 7 years of hands-on experience in data engineering and at least 3 years in AI/ML engineering. Join our Data Modernization practice and take the lead across designing, building, and maintaining data pipelines, advanced analytics and AI/ML solutions on the Databricks cloud platform and collaborate with data analysts, data scientists, ML engineers and customer stakeholders to ensure the availability, scalability, and reliability of data.

The Individual

• Consultative and personable data and AI engineering leader, who will provide advice and leading expertise on Databricks and have a deep understanding of cloud data services to become a key contributor to various large scale data projects.

• Works on specific projects critical to our needs with opportunities to switch teams and projects as our fast-paced business grows and evolves.

• Is versatile, displays leadership qualities and is enthusiastic to take on new challenges across the data stack.

Qualifications

Minimum qualifications:

• Bachelor’s or higher degree in Computer Science, Information Technology, or a related field.

• 10+ years industry experience building and supporting large-scale cloud systems.

• Ability to speak and write in English fluently.

• Excellent verbal and written communication skills.

Preferred qualifications:

• Professional Certification in one or more areas: Cloud Architect, Solution Architect, Data Engineer, ML Engineer, Gen AI Engineer, Claude Code Architect

• Databricks certified candidates will be preferred.

Job Requirements:

Experience:

• Hands-on experience with Databricks, Spark and working knowledge of DBT for data processing and transformation.

• Working understanding of Data Warehousing concepts of Data Vault, Dimensional modelling, OLAP design.

• Hands-on experience building data pipelines using technology such as Azure Data Factory, AWS Glue, GCP Dataflow and Apache Spark (preferably in Databricks).

• Extensive experience with CI/CD platforms such as GitLab CI, GitHub Actions, AWS CodeBuild, Azure Pipelines, GCP Cloud Build, and Jenkins.

• Skilled in scripting languages including Python, SQL, PySpark, Jupyter Notebooks, R, Scala, Bash, and PowerShell.

• Expert Level proficiency in:

• Databricks, PySpark

• MLflow for model tracking and deployment

• ML pipelines and associated MLOps tools

• Experience in deploying ML models securely in cloud-native architectures

• Experience in Generative AI Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and Agentic AI techniques.

• Experience applying or fine-tuning foundational models or large language models (LLM).

• Demonstrated experience in designing and integrating diverse data sources to support Agentic AI systems, including structured, unstructured, and real-time data pipelines in production environments.

• Proficiency with Retrieval-Augmented Generation (RAG) frameworks, including implementation of vector databases, embedding models, and retrieval mechanisms to enhance contextual relevance and model performance.

• Experience in conducting exploratory data analysis (EDA), data cleaning, and validation.

• Experience in engineering feature pipelines and automate feature stores within Databricks.

• Experience in building end-to-end ML pipelines with MLflow for training, evaluation, and model lifecycle management.

• Experience in providing guidance on implementing AI agent frameworks such as LlamaIndex, crewAI, LangGraph, and Azure AI Foundry.

• Experience in designing, implementing, and optimizing AI solutions leveraging both Large Language Models (LLMs) and Small Language Models (SLMs), ensuring scalability, efficiency, and alignment with business objectives.

• Experience in developing and deploying scalable Machine Learning models using Databricks and Lakehouse architecture.

• Experience in utilizing development containers, unit testing/code quality review - standard best practices.

• Strong expertise in version control systems.

• Familiarity with logging and monitoring solutions.

• Familiarity with containerization and orchestration technologies.

• Strong problem-solving, troubleshooting, communication and collaboration skills.

Responsibilities:

• Design & Architecture: Design and implement data and AI solutions for the Databricks platform and APIs. Work with data engineering and data science teams, customers, and other customer-facing teams. Actively Participate in whole AI/ML pipeline design, development, and implementation lifecycle.

• Technical leadership: Provide technical guidance to customers on big data projects, including architectural design, data engineering, and model deployment

• Customer collaboration: Work with customers to understand their requirements, and help them define solutions and a roadmap to meet their goals

• Solution design: Create and review architecture and solution design artifacts

• Technical expertise: Demonstrate expertise in Databricks Lakehouse architecture, delta lake medallion architecture, data pipelines, CI/CD pipelines etc.

• Communication: Communicate complex technical concepts to non-technical stakeholders, such as business leaders and C-level executives

• Documentation: Develop and maintain documentation for the Databricks platform, such as deployment guides, operational procedures, and architecture diagrams

• Risk management: Identify, communicate, and mitigate risks, assumptions, issues, and decisions.

Job Type & Location

This is a Permanent position based out of Beaverton, OR.

Pay and Benefits

The pay range for this position is $148200.00 - $222400.00/yr.

We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected
classification.
Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc.
Our full-time, internal employment benefits include the following:

• 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)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Jun 23, 2026.

About TEKsystems

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.

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.

About TEKsystems and TEKsystems Global Services

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.

The company is an equal opportunity employer and will consider all applications without regard 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.