Lead Data Architect

Your Job

As a Lead Data Architect, you will be a key individual contributor responsible for shaping the future of our enterprise data landscape. Sitting within the Data Management organization, this role will provide hands-on data architecture support for high-value initiatives, ensuring our data assets are designed, structured, and governed for long-term scalability, quality, and usability. The Data Architect will work closely with Data Governance, Data Quality, the Data Platform team, and solution architects to define and deliver data models that align with enterprise standards while meeting business needs.

Who You Are:

• Detail-Oriented: You have a keen eye for detail and a passion for ensuring data is managed, governed, and utilized to its fullest potential.
• Proactive Communicator: You can effectively communicate complex technical concepts to non-technical stakeholders, ensuring buy-in and understanding.
• Collaborative: You work well with others, enjoy cross-functional teamwork, and build strong relationships with stakeholders at all levels of the organization.
• Continuous Learner: You are committed to staying up to date with the latest trends, tools, and best practices in data quality, governance, and analytics.
• Problem Solver: You thrive in tackling complex problems, from platform issues to organizational change management, and you have the ability to come up with creative solutions.

What You Will Do

Hands-On Data Modeling & Architecture Design

• Develop and own logical and physical data models across key domains, ensuring consistency, scalability, and alignment with enterprise standards.
• Translate business requirements into conceptual, logical, and physical data structures.
• Guide delivery teams on best practices for data modeling, schema design, and data lineage.
• Review and refactor existing models where needed to optimize performance, clarity, and alignment with future-state patterns.

High-Value Initiative Support

• Act as the dedicated Data Architect for priority enterprise initiatives - those representing significant investment, complexity, or cross-domain impact.
• Provide architectural oversight from discovery through deployment.
• Ensure data design decisions reduce long-term technical debt and support enterprise data reuse.

Partnership With Delivery Teams

• Collaborate with data engineers, analytics developers, BI teams, and product owners to ensure the implementation aligns with intended architecture.
• Create clear handoffs, reusable patterns, and model documentation to streamline delivery execution.
• Serve as a subject matter expert for modeling tools, naming conventions, structures, and data best practices.

Standards, Frameworks & Reuse

• Work closely with the Data Governance team to evolve standards for data products, metadata, documentation, and modeling conventions.
• Help mature enterprise frameworks for data domain design, canonical models, and conformed dimensions.
• Drive reuse by identifying patterns, shared entities, and opportunities for consolidation.

Collaboration With Solution Architecture & Data Platform

• Partner with solution architects to ensure consistency between flow/pattern architecture (integration) and data architecture (modeling/structure).
• Collaborate with the Data Platform team to ensure models are optimized for the target technologies and support performance, security, and data quality.

Data Quality & Metadata Integration

• Ensure models reflect data quality rules and support the AI-driven DQ tooling strategy.
• Provide metadata that feeds Alation and supports transparency and trust in enterprise data assets.

Who You Are (Basic Qualifications)

• Experience in data architecture, data modeling, or enterprise data design roles.
• Experience building logical and physical data models for relational and/or cloud-native platforms.
• Understanding of dimensional modeling, 3NF, and hybrid patterns.
• Hands-on experience supporting large-scale data engineering or analytics initiatives.
• Ability to translate business needs into structured data designs.
• Proven ability to simplify complex topics for technical and non-technical audiences.

What Will Put You Ahead

• Experience in cloud-based data platforms (Azure, AWS, or GCP), data lakes, and data lakehouses.
• Experience working with metadata management or data intelligence tools (e.g., Alation).
• Familiarity with enterprise data governance, data product concepts, and data quality frameworks.
• Exposure to Denodo or similar data virtualization technologies.
• Experience in a federated or hybrid data architecture model.
• Experience in Agile environments or working with cross-functional teams in iterative, fast-paced delivery cycles.

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

Hiring Philosophy

All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.

Who We Are

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

Our Benefits

Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.

Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

Equal Opportunities

Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here, aqui, or tu).

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