Description
Position at HNI Corporation
HNI Corporationis a global family of brands for the workplace and home dedicated to enhancing the spaces where we live, work, and gather. Wepride ourselves on fostering an environment where we make a positive impact on others; upholding our beliefs in integrity, inclusion and belonging.
What We Need:
We're hiring a Sr. Manager, Data Engineering to lead our data engineering team in designing, building, and optimizing scalable data solutions. This role is a people manager as well as a subject matter expert in data engineering and data architecture. This is a hybrid role what will work from 2-3 days per week from our offices in downtown Chicago.
This role will focus on leveraging Microsoft Azure and Snowflake to drive data architecture, ETL/ELT pipelines, and data governance best practices. A qualified candidate has a strong background in cloud data platforms, experience managing engineering teams, and a passion for delivering high-quality, data-driven solutions. This role will be responsible for end-to-end architecture, development, and optimization of enterprise data solutions that support critical business decision-making.
This role requires extensive experience with Data Lakes, Python, CI/CD frameworks, SQL, and ETL/ELT development. This role requires both technical expertise and leadership skills to drive data innovation, enhance analytics capabilities, and ensure a scalable, high-performance data ecosystem.
Our IDEAL candidate is solution-oriented and flexible, able to apply all their technical skills to a variety of circumstances and scenarios without being overly rigid or pedantic or uncompromising. The ability to work effective as a partner and team member is an essential skill.
What You Will Do:
Design & Strategy Leadership
- Play a crucial role in defining the strategy for enterprise business intelligence tools, processes, and capabilities - balance the technical aspects of data engineering and business intelligence with the need to support existing business operations and dataflows.
- Work closely with Analytics, Decision Science and Business teams to gather feedback on existing tools and help pilot new tools and capabilities.
- Lead the design and implementationofcloud-based data architectures and data models used for self-service analytics through Power BI
- Identify and implement innovative approaches to streamline data processes and improve data quality and efficiency
- Design and implement dimensional data models, including star and snowflake schemas, to support enterprise reporting and analytics
Collaboration, and Solution-Oriented Problem Solving
- Collaborate with business stakeholders and analysts to translate data requirements into logical and physical data models
- Optimize data models for performance, scalability, and ease of use within data warehouses and BI tools
- Develop and maintain metadata, data dictionaries, and entity-relationship diagrams to ensure clear documentation of data structures
- Effectively translate data complexity into clear, actionable insights for leaders while advocating for the team's impact to the business
Technical Leadership
- Oversee the design, development, and maintenance of data pipelines, warehouses, and other data infrastructure, ensuring data accuracy, reliability, and security
- Stay ahead of industry trends and emerging technologies to drive innovation and enhance the organization's data capabilities.
- Define and implement best practices for data engineering, architecture, and operations.
Team Leadership
- Lead and mentor a team ofdata engineers,fostering a culture of innovation, continuous learning, and operational excellence.
- Provide technical leadership responsibilities and improve team member engagement in leading and inspiring teams in their performance and responsibilities.
- Create a collaborative, performance-driven work environment by facilitating and fostering trust, transparency, and inclusion.
- Work with team members to set clear goals, provide feedback, perform performance assessments, and support on-going development.
Data Engineering
- In addition to leading a team of data engineers, you must be able to provide hands-on, direct and technical instruction on the following tasks in addition to being able to perform them yourself:
- Design, build, and maintain scalable data pipelines and ETL processes to support analytics and business intelligence initiatives
- Develop and optimize data models for both batch and real-time processing
- Ingest, clean, transform, and validate data from a variety of sources, including APIs, databases, and third-party platforms
- Manage and maintain data infrastructure, including data warehouses, data lakes, and cloud storage systems
- Monitor data pipeline performance and troubleshoot issues related to data quality, latency, and reliability
- Implement data governance, security, and compliance best practices
- Automate repetitive data engineering tasks using scripting languages such as Python or SQL
Qualifications
- Bachelor's or Master's degreein Computer Science, Data Engineering, Information Systems, or a related field.
- 10+ years of experiencein data architecture, data engineering, or business intelligence, with a focus on cloud platforms (Azure preferred).
- Expertise inSQL, developingETL/ELT pipelines, and managing large-scale data processing.
- Expertise experience withAzure Data Lake, Spark, Airflow, Databricks, and other data services.
- Strong proficiency inPythonfor data transformation, automation, and analytics.
- Experience withCI/CD frameworksand version control tools for automated deployment and testing of data solutions.
- In-depth knowledge of relational databases and cloud
- Strong understanding ofdata modeling, governance, and security best practicesin cloud environments.
- Strong analytical, problem-solving, and communication skills, with the ability to translate business needs into technical solutions.
- Experience leading and mentoring a team of data professionals.
We look forward to hearing from you! HNI Corporation (NYSE: HNI) is a manufacturer of workplace furnishings and building products, operating under two segments. The workplace furnishings segment is a leading global designer and provider of commercial furnishings, going to market under multiple unique brands. The residential building products segment is the nation's leading manufacturer and marketer of hearth products.
We offer benefits starting from Day 1. To learn more, visit www.HNIbenefits.com.
Our company endeavors to make www.hnicareers.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at 563-272-7400 or via email at [emailprotected] Company is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law.
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HNI Corporation
Jun 16, 2025