Hussmann is seeking a Sr. Enterprise Data Platform Engineer to develop and maintain scalable data architecture within the Connected Solutions team. The role involves implementing Microsoft technologies and collaborating with stakeholders to optimize data solutions.
Overview This role is for an Sr. Enterprise Data Platform Architect within the Connected Solutions -Digital & Data Analytics team. The position is essential for developing a flexible, efficient, and scalable enterprise architecture framework. Responsibilities • * Design and Architecture: Develop and maintain the architecture of data platforms, ensuring scalability, reliability, and performance. • Implementation: Implement data solutions using Microsoft technologies such as Azure Data Lake, Azure API, Azure Synapse Analytics, Azure Databricks, Azure Data Factory, and Power BI. • Integration: Integrate various data sources and ensure seamless data flow across systems. • Optimization: Optimize data storage and processing to improve query performance and reduce costs. • Security: Ensure data security and compliance with industry standards and regulations. • Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver actionable insights. • Documentation: Maintain comprehensive documentation of data architecture, processes, and best practices. • Monitoring and Maintenance: Monitor data systems for performance and reliability and perform regular maintenance and updates. • Innovation: Stay updated with the latest trends and advancements in data technology and proactively propose innovative solutions. Qualifications • * Education: Bachelor’s or master’s degree in computer science, Information Technology, or a related field. • 15+ years overall applicable experience • 3+ years of proven experience in data engineering architecture, with a focus on the Microsoft modern stack • Programming Languages: Strong skills in SQL, Python, and other relevant programming languages. • Analytical Skills: Excellent problem-solving and analytical skills. • Communication: Strong verbal and written communication skills. • Teamwork: Ability to work collaboratively in a team environment. • Project Management: Experience in managing data projects and delivering results within timelines • Innovation: Demonstrated ability to innovate and implement cutting-edge data solutions Preferred Qualifications • Experience with other cloud platforms and data technologies. • Certifications in Microsoft Azure or related technologies. Technical Skills • Azure SQL Data Warehouse • Azure Synapse Analytics • Azure Data Factory • Azure Data Lake • Azure Analysis Services • Databricks/Spark • Python or Scala (Python preferred) • Data Modeling • Power BI (desired) • Database migration from legacy systems to new solutions • Design of conceptual, logical, and physical data models using tools like ER Studio or Erwin Soft Skills • Excellent problem-solving and analytical skills. • Strong attention to detail and a commitment to data accuracy. • Effective communication and interpersonal skills. • Ability to work independently and as part of a team. Benefits: • Health, Dental, and Vision Insurance • 401k with Company Matching Contribution • Discretionary 401k Company Contribution • Tuition Reimbursement Program • Life/Disability Insurance • Maternity and Paternity Leave • Panasonic Employee Discounts • 15 Days Paid Vacation and 12 Company Holidays • Employee Assistance Program • And more About Hussmann For over a century, Hussmann Corporation has been a global leader in commercial refrigeration equipment — delivering solutions that meet the demands of the modern food retailing industry. Headquartered in St. Louis, MO, Hussmann offers a diverse range of products and connected solutions designed to enhance operational efficiency, optimize visibility of merchandise, and keep food fresh. With a nationwide network of skilled technicians, Hussmann goes beyond manufacturing — a trusted partner, relentlessly driving customer success. For more information about Hussmann, please visit www.hussmann.com. Hussmann is a subsidiary of Panasonic USA. Hussmann is proudly committed to creating an inclusive environment. All qualified applicants will receive consideration for employment without regard to veteran status, disability, age, race, color, religion, sex, national origin, genetics, medical condition, or any other characteristic protected by law. REQ-152500
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ForFutures Financial is seeking a Senior Data Engineer with expertise in Databricks to design and optimize big data solutions. This remote role requires strong experience in data engineering and a passion for mentoring others.
The Enterprise Data Platform Engineer at Panasonic is responsible for designing and implementing high-quality data architectures for various data solutions. This role involves collaboration with stakeholders to optimize data storage, processing, and reporting using Microsoft technologies.
The Senior Director, Enterprise Data & Analytics Platforms at Danaher leads the enterprise data platform team and drives the company's data and analytics strategy. This fully remote position requires extensive experience in data management and leadership.
Microsoft is seeking a Principal Experimentation Data Platform Engineer to enhance the Teams Experimentation Platform by building advanced data systems for A/B testing and data-driven decision-making. This role requires extensive experience in software engineering, big data architectures, and collaboration across diverse teams.
The Senior Director, Enterprise Data & Analytics Platforms at Danaher Corporation is responsible for leading the enterprise data platform team and driving the company's data and analytics strategy. This fully remote role involves building a high-performing team and implementing scalable data solutions to support AI and analytics initiatives.
Hussmann is seeking a Sr. Enterprise Data Platform Engineer to develop and maintain scalable data architecture within the Connected Solutions team. The role involves implementing Microsoft technologies and collaborating with stakeholders to optimize data solutions.