Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field., 7+ years of experience in data engineering, data architecture, or related fields., Expertise in Databricks, Spark, and Azure Data Lake architectures., Strong leadership qualities with a proven ability to mentor and develop teams..
Key responsabilities:
Design and maintain scalable and secure data architectures in Azure and Databricks.
Lead and mentor data engineers and junior architects, conducting code reviews and providing technical guidance.
Implement and manage DevOps best practices for version control, testing, and deployment of data pipelines.
Collaborate with business stakeholders to design and implement scalable data solutions aligned with organizational goals.
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Everyday Meals, Solved We partner with leading retailers to provide meal solutions, and to deliver the very best experience to their consumers. We gather a variety of ingredients from top sources for our chef-created meals so that consumers can enjoy delicious, Fresh Meals with little to no effort. Connecting Through MealsAt FreshRealm, meals are more than a source of nutrition, they are our passion. Meals are the heart of a timeless ritual of sitting down to connect: with family, friends and ourselves
FreshRealm is currently in a high-growth state, and our culture of ACTIONS drives our team members forward to maximize their potential. We are a team of hardworking, passionate leaders who persevere through challenges, collaborate with one another to problem solve and achieve desired outcomes, and work to bring out the best in our employees as we service our customers. At FreshRealm, we welcome individuals from all backgrounds and abilities to apply and make employment decisions based on merit.
Job Summary
We are seeking a highly skilled Data Architect to lead the design and implementation of scalable data architectures in Azure and Databricks environments. This role will drive data strategy, optimize data workflows, and ensure governance while collaborating with stakeholders to support data-driven decision-making. The ideal candidate will have a strong technical background in data engineering, cloud platforms, and DevOps, along with a passion for mentoring and leading technical teams.
Key Responsibilities
Data Architecture & Strategy:
Design and maintain scalable and secure data architectures in Azure (Azure Data Lake, Azure Synapse) and Databricks.
Establish best practices for data ingestion, transformation, and provisioning to enable advanced analytics.
Mentorship & Team Development
Lead and mentor data engineers and junior architects, conducting code reviews and providing technical guidance.
Foster a culture of collaboration, innovation, and continuous learning within the team.
Technical Leadership
Act as a Subject Matter Expert (SME) in data modeling, ETL/ELT processes, and data governance.
Lead the end-to-end architecture for new data-driven solutions and platform enhancements.
DevOps & CI/CD Implementation
Implement and manage DevOps best practices for version control, testing, and deployment of data pipelines.
Automate and optimize builds, deployments, and monitoring using tools like Azure DevOps or GitHub Actions.
Security & Compliance
Enforce data security standards, including data masking and role-based access controls (RBAC).
Collaborate with InfoSec teams to align security policies with industry regulations (e.g., GDPR, CCPA).
Stakeholder Collaboration & Communication
Partner with business stakeholders to design and implement scalable data solutions aligned with organizational goals.
Advocate for data-driven decision-making, promoting strategic investments in modern data technologies.
Qualifications & Skills
Expertise in Databricks, Spark (PySpark, Spark SQL), and Azure Data Lake architectures.
Strong proficiency in Azure Data Factory, Azure Storage, Key Vault, and Synapse.
Hands-on experience with CI/CD pipelines and DevOps tools (Azure DevOps, GitHub Actions, Jenkins, etc.).
Advanced knowledge of 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 for engaging both technical and non-technical audiences.
Strong leadership qualities with a proven ability to mentor and develop teams.
Experience working in cross-functional, agile environments with a problem-solving mindset.
Experience & Education
Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
7+ years of experience in data engineering, data architecture, or related fields.
3+ years of hands-on experience designing and implementing large-scale solutions in Azure (Azure Data Lake, Azure Synapse, Databricks).
Proven experience leading technical teams and mentoring junior engineers.
Why Join Us?
Opportunity to work on cutting-edge data technologies in a cloud-first environment.
Be a key player in shaping enterprise data strategy and leading high-impact projects.
Collaborative and innovative work culture that values professional development and continuous learning.
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.
Unlimited paid time off (PTO)
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 and adjust 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.
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.
We are an Equal Opportunity Employer.
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Required profile
Experience
Industry :
Food & Beverages
Spoken language(s):
English
Check out the description to know which languages are mandatory.