LP Building Solutions ยท 9 hours ago
Data Engineer
Nashville, TN
Full-time
Hybrid
Mid, Senior Level
4+ years expLP Building Solutions is a leading provider of high-performance building solutions. The Data Engineer II will architect, build, and optimize scalable data solutions, lead complex projects, and mentor junior engineers while ensuring best practices in data governance and security.
Responsibilities
Lead the design and architecture of advanced data solutions
Architect and implement data pipelines and frameworks using dbt, Snowflake, and cloud services (AWS, Azure) across medallion architecture layers (bronze, silver, gold)
Define and enforce standards for data modeling, ETL/ELT processes, and pipeline orchestration under the guidance of the Data Engineering Lead
Own and optimize complex integrations
Design and manage integrations with enterprise systems (SAP, Salesforce, Manufacturing Efficiency Systems) and external data sources at scale
Optimize data ingestion for performance, reliability, and cost efficiency
Ensure data quality and governance across the enterprise
Implement automated data quality frameworks and monitoring solutions to ensure accuracy, consistency, and compliance
Drive adherence to governance, security, and audit requirements across all data assets
Collaborate, build relationships, and guide stakeholders
Develop trusted partnerships with business leaders, analysts, and technical teams to understand objectives and challenges
Facilitate requirements-gathering sessions, asking the right questions to uncover critical details and ensure clarity
Act as a liaison between technical teams and business units, translating needs into scalable, well-documented solutions
Develop, document, and enforce standards
Create and maintain guidelines for data modeling, pipeline design, and transformation logic
Ensure consistency and quality across all data assets by implementing coding standards, naming conventions, and documentation protocols
Provide feedback to improve practices and drive adoption of best practices within project teams
Innovate and drive continuous improvement
Evaluate emerging technologies and recommend improvements to data engineering practices
Champion automation and performance optimization initiatives across pipelines and workflows
Qualification
Required
4+ years of data engineering experience with proven leadership in complex projects
Advanced proficiency in Python, SQL and transformation tools like dbt
Strong understanding of ETL processes, data modeling (including dimensional modeling), and medallion architecture
Expertise with cloud-based services platforms (e.g., AWS, Azure) and modern data warehouses/lakehouses (e.g., Snowflake, Databricks)
Hands-on experience designing and implementing complex ETL/ELT workflows using tools like Azure Data Factory (ADF), AWS Glue, Informatica, or equivalent
Strong analytical and problem-solving skills
Ability to lead technical discussions, mentor team members, and communicate effectively with stakeholders
Strong relationship-building skills with the ability to influence and guide stakeholders through requirements discovery
Skilled at defining and championing standards that improve team efficiency and data reliability
Bachelor's or master's degree in computer science, software or computer engineering or related field, or equivalent work experience
Preferred
Experience with database technologies (SQL, NoSQL, Oracle) and API development is highly preferred
Experience with integration into reporting platforms like Tableau and Power BI
Benefits
Health and welfare benefits
401(k) program
Career mobility
Tuition reimbursement
Volunteer opportunities
Profit sharing
And more
Company
LP Building Solutions
About LP Building Solutions As a leader in high-performance building solutions, Louisiana-Pacific Corporation (LP Building Solutions, NYSE: LPX) manufactures engineered wood building products that meet the demands of builders, remodelers, and homeowners worldwide.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Molly Stark
HR Business Partner
Company data provided by crunchbase