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Data Architect

Data Architect

Trystar IncHouston, TX, US
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Job Description

Job Description

Job Title : Data Architect

Job Description :

Trystar is at the forefront of advancing power solutions, charged and driven by a committed, dynamic team, tackling complex challenges, and creating innovative solutions. Safety and integrity aren’t just buzzwords. They are the north star guiding us as we aspire to wow our customers every day. We’ve created power solutions that are not only durable and unique but are also the result of serious teamwork from every corner of our organization. Individually and collectively, every team member at Trystar plays for each other and strives to deliver unmatched value and 100% accuracy to our customers every single day.

As a leader and pioneer in power solutions, we’re not just part of the power conversation – we’re shaping its future, and we’re doing so across diverse industry sectors including healthcare, data centers, entertainment, education, government, and commercial construction – just to name a few! We’re committed to growing and evolving our product lineup to stay on top of the game and that includes leaning into sustainable, resilient, and renewable energy solutions.

Our cutting-edge headquarters in Faribault, MN, is partially solar- and wind-powered by our own microgrid! You will find that we’re also pushing boundaries across the country at our additional facilities in Troy, MI; Houston, TX; Merrimack, NH; Burnsville, MN; Murfreesboro, TN; Waukesha, WI; and in Montreal, Quebec, Canada. Together, we are Trystar, where we power the future and nurture innovation for a brighter tomorrow.

Trystar’s team members are our most important asset, and we are in search of a Data Architect to join our IT team. As a Data Architect, you will play a critical role in designing, implementing, and leading the architecture of our enterprise data systems. Your responsibilities will include defining & creating data management frameworks, develop scalable data models, and setting best practices for data governance, security, and integration. You will architect robust data platforms that ensure the quality, availability, and integrity of data to support Trystar’s strategic objectives.

In this role, you will collaborate closely with cross-functional stakeholders to translate business needs into effective data architectures and roadmaps. You will guide the selection and implementation of technology solutions, mentor engineering teams, and champion data-driven decision-making throughout the organization. Your expertise will drive the continued evolution of Trystar’s data strategy and enable innovation and operational excellence on a scale.

This position requires a forward-thinking individual with a passion for technology, an analytical mindset, and strong leadership in cross-disciplinary environments. It is a unique opportunity to shape the foundation of Trystar’s data landscape and drive impact across our entire organization.

We are looking for people who believe in our guiding principles and values of :

  • Safety – We believe everyone should leave Trystar facilities in the same or better condition than when they arrived.
  • Integrity – We’re honest, transparent, and committed to doing what’s right.
  • Customer focus – We have relentless focus on our customers and their success.
  • Right with speed – We use good judgement, make thoughtful decisions quickly, and execute them with purpose and intensity.
  • Play for each other – We’re a team. We show up for each other and we know that through teamwork we achieve greatness.
  • Champion change – We know adaptation and improvement are requirements to survive and to thrive.
  • Enjoy the journey – We create an environment where our team feels appreciated and has fun along the way.

In this role you will get to :

  • Act as the strategic point of contact for all data & AI initiatives, collaborating with cross-functional teams to design, build, and Design, implement, and maintain scalable and robust data architectures.
  • Optimize database structures and processes to ensure data integrity, security, and high availability across all platforms.
  • Collaborate with stakeholders to define, document, and translate business requirements into effective data models , frameworks and architectural solutions.
  • Establish best practices and provide technical leadership to data engineering teams, fostering professional growth and consistent architectural standards.
  • Oversee data validation, testing, and quality assurance processes to guarantee data reliability and compliance with governance policies.
  • Develop and maintain comprehensive documentation for data architectures, integrations, and standards.
  • Communicate architectural updates and strategies to all relevant stakeholders, ensuring transparency and organizational alignment.
  • Champion data governance initiatives, including the development and implementation of data management best practices and policies.
  • Job Requirements : BASIC QUALIFICATIONS

  • Education : Bachelor’s degree in computer science, Data Engineering & Analytics or a related field.
  • Experience : Minimum of 8 years of experience in database design, data engineering, business intelligence, AI & data modeling with a focus on designing and implementing big data solutions.
  • Technical Skills : Proficiency in SQL, Python, and ETL tools.
  • Experience with cloud data platforms Microsoft fabric, Azure Synapse, Azure Data Factory, Azure Databricks, Power BI or similar.
  • Strong understanding of data modeling, data warehousing, data lake houses, semantic models, purpose built data stores and databases etc.
  • Proven ability to lead and mentor a team of data engineers, ensuring high performance and continuous improvement.
  • Excellent analytical and problem-solving skills, with a strategic approach to data management and architecture.
  • Strong communication skills, capable of translating complex technical concepts into business-friendly language.
  • Experience in managing large-scale data projects, including planning, execution, and delivery.
  • Knowledge of data governance principles and best practices, with a commitment to ensuring data quality and integrity.
  • ADDITIONAL QUALIFICATIONS

  • Familiarity with digital manufacturing and related systems like ERP, CRM, QMS etc.
  • Ability to troubleshoot technical issues and implement minor system enhancements.
  • Strong communication skills, with the ability to explain technical concepts in clear, business-friendly language.
  • Passion for learning and optimizing technologies and user experiences.
  • Exceptional organizational skills and attention to detail, with the ability to manage multiple tasks effectively.
  • Strong interpersonal skills and highly resourceful in both team environments and building business relationships.
  • Strategic mindset with a hands-on approach to problem-solving.
  • Willingness and ability to travel 20%.
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