Information Technology - Data Architect

 The salary range for this position is $95,500 - $152,300. This is a remote-based position. 

GENERAL JOB DESCRIPTION

The Data Architect will be an integral part of the Data and Software Engineering team responsible for the Design and maintenance of scalable data architectures. He/she will also define best practices for data ingestion, transformation, and provisioning to support analytics use cases as well as serve as a subject matter expert in data modeling, and end-to-end architecture design.

MAJOR DUTIES AND RESPONSIBILITIES

• Data Architecture & Strategy • Design and maintain scalable data architectures in Azure (e.g., Azure Data Lake, Azure Synapse) and Databricks environments. • Define best practices for data ingestion, transformation, and provisioning to support analytics use cases.
• Technical Leadership • Serve as a subject matter expert (SME) in data modeling, ETL/ELT processes, and data governance. • Oversee end-to-end architecture design for new data-driven solutions and platform enhancements.
• Mentorship & Team Management • Lead and mentor data engineers and junior architects, providing technical guidance, code reviews, and career development support. • Foster a culture of collaboration, innovation, and continuous learning within the team.
• DevOps & CI/CD • Implement and manage DevOps practices for version control, testing, and deployment of data pipelines and infrastructure. • Optimize and automate builds, deployments, and monitoring using tools such as Azure DevOps or GitHub Actions.
• Security & Compliance • Implement and enforce data security standards, data masking, and role-based access controls (RBAC) to comply with industry regulations (e.g., GDPR, CCPA). • Work with InfoSec teams to establish security policies, audits, and governance processes across data platforms.
• Collaboration & Stakeholder Engagement • Work closely with business stakeholders to understand requirements, design appropriate data solutions, and communicate project statuses. • Champion data-driven decision-making across the organization, advocating for strategic investments in data technologies.

QUALIFICATIONS FOR THE JOB

Skills and Requirements

•Expertise in Databricks, Spark (PySpark, Spark SQL), and data lake architectures.
• Strong proficiency in Azure services such as Azure Data Factory, Azure Storage, Key Vault, and Synapse.
• Familiarity with CI/CD pipelines and DevOps tools (Azure DevOps, GitHub Actions, Jenkins, etc.).
• Advanced data modeling (dimensional, relational, NoSQL), data governance, and data security best practices.
• Proficiency in SQL, Python, and/or other scripting languages. • Excellent communication and presentation skills with both technical and non-technical stakeholders.
• Strong leadership qualities, with proven ability to coach and mentor team members.
• Problem-solving mindset and experience working in cross-functional, agile environments.

Experience / Education
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 7+ years in data engineering, data architecture, or related roles.
• 3+ years of hands-on experience designing large-scale solutions in Azure (Azure Data Lake, Azure Synapse, Databricks).
• Demonstrated experience leading technical teams or mentorship of junior engineers. |||

What We Offer

• Comprehensive benefits package for full-time employees including medical, dental, vision, pet insurance and legal insurance
• 401(k) with company match that is immediately vested
• Life and ADD insurance
• Opportunities for career growth with a dynamic company that is changing the landscape of fresh meals.
• Paid time off 

Our Values at Work

We believe that ACTIONS speak louder than words and our company values align to those ACTIONS.

In Our Daily Work, This Looks Like

• ACCOUNTABILITY: Set clear objectives and prioritize your tasks Hold yourself and your teams accountable for meeting deadlines Learn from your mistakes and use it as a learning opportunity to improve next time
• CHALLENGE WITH CURIOSITY: We challenge and engage with each other through curiosity and a drive to innovate and transform. This encourages us to learn from one another, be open-minded to other perspectives and possibilities, and continuously improve and problem-solve with intensity. We persevere through challenges, observe patterns, and pay attention to the details to make connections others may overlook, allowing us to exceed expectations.
• TRANSPARENCY & HONESTY: Maintain open and consistent communication. Admit mistakes and take ownership Document decisions to help avoid misunderstandings
• INNOVATION: Work with the end-user in mind and create solutions that will add value Question existing norms, assumptions, and best practices Experiment and take calculated, data-driven risks
• OBJECTIVITY: Utilize data and make data-driven decisions at every opportunity
• NIMBLENESS: Utilize time management to help stay focused and on task with urgency es and make adjustments accordingly Delegate and trust others to handle specific responsibilities with resources and support
• SUCCESS THROUGH OUR CUSTOMERS: Know your audience and the type of work they expect to receive as the end-result of a project, initiative, or task Seek feedback at different stages to ensure you’re on the right track Foster collaboration among cross-functional teams to ensure you’re providing the best experience and service to our consumers
• NIMBLENESS: Utilize time management to help stay focused and on task with urgency es and make adjustments accordingly Delegate and trust others to handle specific responsibilities with resources and support

Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location.  We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.
We are an Equal Opportunity Employer

#LI #DataArchitect

We are an Equal Opportunity Employer.