Data Architect

Logic20/20•Seattle, WA

About The Position

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.

Requirements

10-15+ years of overall experience as a data architect and data engineer.
Experience leading Azure data migrations, along with expertise in Microsoft Fabric, Azure Data Lake, Azure Data Factory, and Azure SQL Database.
Proven experience in designing, implementing, and optimizing data solutions within Snowflake.
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.

Nice To Haves

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.

Responsibilities

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.
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.
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.