We’re a ten-time “Best Company to Work For,” where intelligent, talented people come together to do outstanding work—and have a lot of fun while they’re at it. We offer a solution-focused environment full of collaboration and dedication to our goals and to each other. You’ll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working at Logic20/20 means working on the leading edge, with a community of the right people around you.

About the team

The Logic20/20 Advanced Analytics team is where skilled professionals in data engineering, data science, and visual analytics join forces to build simple solutions for complex data problems. We make it look like magic, but for us, it's all in a day's work. As part of our team, you'll collaborate on projects that help clients spin their data into a high-performance asset, all while enjoying the company of kindred spirits who are as committed to your success as you are. And when you're ready to level up in your career, you'll have access to the training, the project opportunities, and the mentorship to get you where you want to go. 

"We build an environment where we really operate as one team, building up each other's careers and capabilities." – Adam Cornille, Senior Director, Advanced Analytics 

Data Architects are key members of our technical leadership team. They design scalable data architectures that enable clients to make data-driven decisions, while also helping grow our engineering team and strengthen our market positioning.

As a Data Architect, you will lead the design of modern cloud data platforms, own key client relationships, and provide technical and strategic leadership across engagements. You will guide teams and play a critical role in pre-sales, proposals, and practice growth.

You will collaborate with clients to assess, design, and implement modern cloud data and analytics architectures that align with their business processes and strategic goals. You'll also provide technical leadership, shape data strategy, and develop roadmaps to help clients achieve their goals using the latest technologies.

You will lead and mentor technical teams, own key client relationships, and play a critical role in pre-sales and practice development. You will work closely with your team, including data engineers, analysts, and technical project managers, to create design patterns, articulate technology choices, model data, provide estimates, and work together to deliver a world-class solution.  

The ideal candidate combines strong technical skills with business acumen, able to uncover core business needs while recognizing technical constraints and designing pragmatic, future-ready solutions in a consulting environment. 

Key Responsibilities

Delivery

• Partner with clients to understand business goals, requirements, and constraints, and translate them into scalable, secure data solutions.
• Lead the design and optimization of end-to-end cloud data architectures, including data ingestion, storage, processing, modeling, and consumption.
• Define data models (ex, Kimball, Data Vault), integration patterns, and design standards; create and maintain architectural assets such as diagrams, models, and data dictionaries.
• Create and maintain core architectural assets, including data flow diagrams, architecture diagrams, logical and physical models, data lineage, and data dictionaries.
• Provide technical leadership to data engineering teams, including code and design reviews, best practices, and coaching.
• Ensure data architecture accounts for governance, data quality, security, and compliance requirements.
• Lead and participate in workshops, whiteboarding sessions, and executive presentations to drive alignment and decision-making.
• Stay current on emerging data and cloud technologies and bring forward recommendations that add value to clients and our practice.

Practice Growth

• Support business and practice development through proposal support and offering development.
• Partner with the account and sales teams to identify new business and support deal closure.
• Lead technical pre-sales activities, including discovery sessions, solutioning, and estimates.
• Represent the company in executive briefings, industry events, and create thought leadership content as needed.

People Management

• Lead and mentor a team of data engineers by providing coaching, feedback, and growth opportunities, including performance reviews, staffing decisions, and career development planning.
• Estimate effort and complexity, and support project planning in collaboration with project managers and stakeholders.
• Contribute to practice offerings, accelerators, and reusable assets.

• 5-10 years of overall experience as a data architect and data engineer.
• Experience designing solutions in Azure data technology services: Microsoft Fabric, Azure Data Lake, Azure Data Factory, Azure SQL DB
• Experience designing and implementing enterprise-grade data solutions at a leading consulting firm, with experience supporting proposals and pre-sales activities..
• Experience setting up and managing cloud-based data and analytics environments (development, test, production).
• Deep knowledge of relational and transactional database theory.
• Demonstrated ability to identify business and technical impacts of user requirements for project planning.
• Demonstrated experience in Agile methodologies.
• Ability to propose, design, and communicate complex architecture diagrams and data solutions to technical and non-technical stakeholders.
• Experience leading whiteboarding workshops to drive requirements gathering with technical and business stakeholders.

Preferred Qualifications

• Experience modeling utilities, wildfire, and/or geospatial data.
• Experience with GIS technologies, particularly ArcGIS.
• Experience with Microsoft Visio and/or LucidChart.
• An undergraduate degree in STEM or business.
• Microsoft Certifications (Fabric Data Engineer, Fabric Analytics Engineer, Azure Solutions Architect Expert, Azure Data Fundamentals) and/or
• Data Platform Certifications (Databricks Data Engineer Associate / Professional, Snowflake Advanced Data Engineer / Architect).
• Experience designing and leading large-scale data migrations to cloud environments.
• Strong understanding of cloud computing, solution design, identity and access management, networking, and security best practices.

At Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $172,557 - $187,657. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives.

All your information will be kept confidential according to EEO guidelines.

Learn more about life at Logic20/20!

Visit our Life at Logic page to explore our culture, benefits, and what makes Logic20/20 a great place to grow your career!

Core Values 

At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees—and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at https://www.logic2020.com/company/our-values. 

Equal Opportunity Statement 

We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. 

To learn more about our DE&I initiatives, please visit: https://www.logic2020.com/company/diversity-equity-inclusion  

Privacy Policy 

During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please view our company privacy policy.