Senior Data Engineer

Job Title: Senior Data Engineer

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 big name 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 Senior Data Engineer to join our IT team. As a Senior Data Engineer, you will play a crucial role in designing, developing, and maintaining our data platform. Your responsibilities will include building and optimizing data pipelines, ensuring data quality and integrity, and implementing data processing systems that support Trystar's various business needs. Additionally, you will collaborate with cross-functional teams to understand data requirements, develop data models, and provide actionable insights. Your expertise will be instrumental in driving Trystar's data strategy and supporting our commitment to innovation and operational excellence.

This role requires a dynamic individual with a passion for technology, a commitment to delivering exceptional user experiences, and cross-functional collaboration. This is an opportunity to play a pivotal role in driving Trystar's commitment to innovation, customer focus, and operational excellence.

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 engineering initiatives, collaborating with cross-functional teams to design, build, and maintain robust data pipelines.
• Develop and implement scalable data solutions to support analytics, machine learning, and business intelligence activities.
• Optimize and manage the performance of databases, ensuring data integrity and high availability.
• Collaborate with stakeholders to gather, document, and translate business requirements into efficient data architecture.
• Provide hands-on support and mentoring for junior data engineers, empowering them to effectively contribute to Trystar's data solutions.
• Orchestrate data validation and testing procedures to ensure data quality and alignment with operational goals.
• Develop and maintain detailed documentation for data processes, customizations, and resolutions.
• Track, manage, and communicate data-related updates, ensuring all stakeholders are informed and aligned.
• Support data governance initiatives, including the implementation of best practices for data management.

Job Requirements:

BASIC QUALIFICATIONS

• Education: Bachelor's degree in computer science, Data Engineering & Analytics or a related field.
• Experience: Minimum of 7 years of experience in data engineering, with a focus on designing and implementing data solutions at scale.
• 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 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%.