• Define and execute the enterprise data engineering strategy supporting business growth, operational excellence, analytics, and AI initiatives • Establish enterprise standards for data ingestion, integration, transformation, storage, quality, and delivery • Develop a scalable data architecture capable of supporting a rapidly growing and acquisition-driven organization • Create and maintain a multi-year roadmap for enterprise data capabilities and platform investments • Lead the design, implementation, and operation of the company’s enterprise data platform and lakehouse architecture • Establish scalable patterns for batch, real-time, and event-driven data integration • Partner with Data & Information Architects to maintain enterprise data models and architecture standards • Develop repeatable integration frameworks for newly acquired firms and business units • Partner with the Director of Data & AI Governance to operationalize governance controls within enterprise platforms and workflows • Recruit, develop, and lead a high-performing team of Data Engineers, Data & Information Architects, and Governance professionals.

• Design, develop, and maintain scalable data pipelines that support enterprise reporting, analytics, and AI workloads. • Integrate data from a variety of business systems including ERP, CRM, HRIS, Deltek Vantagepoint. • Develop ingestion, transformation, and data delivery processes that support enterprise business requirements. • Build and maintain data workflows that support both batch and near real-time processing needs. • Ensure data pipelines are reliable, maintainable, and scalable as business demands evolve. • Implement data quality controls, validation processes, and monitoring solutions. • Collaborate with Data & Information Architects to implement enterprise data models and master data strategies. • Support data classification, retention, lineage, access management, and audit requirements.

• Collaborate with business leaders to identify high-impact business problems and translate them into data science and data analysis projects • Collect, process, and analyze complex datasets from various sources to identify trends, patterns, and insights that inform business strategy • Develop and implement predictive models and machine learning algorithms to solve business problems, such as forecasting, customer segmentation, and optimization • Develop and maintain detailed, compelling dashboards and reports for both technical and non-technical audiences using business intelligence (BI) tools • Perform exploratory data analysis (EDA) and statistical analysis to uncover patterns, trends, and anomalies • Create clear, compelling, and actionable data visualizations and reports to communicate complex findings to both technical and non-technical audiences • Design and execute A/B tests and other experiments to measure the impact of different initiatives • Work with data engineers to build and improve data pipelines, ensuring data quality and accessibility

Role Description This is a remote position and can be located anywhere in the US. We are seeking a highly skilled Senior Manager, Data Engineering to design, build, and optimize modern data platforms that power enterprise analytics, reporting, machine learning, and AI initiatives. - Design and maintain scalable data platforms and pipelines. - Develop and optimize cloud-based data architectures. - Automate infrastructure provisioning using Infrastructure-as-Code tools. - Collaborate with data scientists, analysts, architects, and business leaders to gather requirements. - Troubleshoot complex technical issues. - Implement data quality controls and improve platform governance and security. - Mentor engineers and conduct code reviews. - Evaluate emerging technologies such as GenAI and machine learning. - Continuously improve data platform performance, reliability, and cost efficiency across cloud environments including AWS, Snowflake, Azure, and Databricks. Qualifications - Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical field. - Equivalent combination of education and relevant work experience may be considered. - Master's degree in Computer Science, Information Systems, Data Science, or related field preferred. - 10+ years of progressive experience in data engineering, analytics engineering, business intelligence, or related technical roles. - Proven track record designing and delivering enterprise-scale data platforms and analytics solutions. - Demonstrated ability to lead technical initiatives and influence architectural decisions. - Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders. - Experience operating in fast-paced, highly collaborative Agile environments. - Ability to independently drive projects from concept through implementation and support. - Strong problem-solving mindset with a focus on business outcomes, automation, and continuous improvement. Requirements - Data Engineering & Architecture - Advanced proficiency in SQL and Python. - Experience building and maintaining scalable ETL/ELT pipelines. - Strong expertise in PySpark and distributed data processing. - Experience designing enterprise data models and lakehouse architectures. - Deep understanding of data warehousing, data lakes, and modern data platforms. - Experience implementing data quality, monitoring, and governance frameworks. - Cloud & Platform Engineering - Hands-on experience with AWS services such as S3, IAM, Glue, and Lake Formation. - Experience working with Snowflake, Databricks, Azure, or GCP. - Experience designing secure, scalable cloud-native data architectures. - Understanding of cloud security, identity management, and access controls. - Infrastructure & DevOps - Experience with Terraform or similar Infrastructure-as-Code tools. - Strong Git-based development practices. - Experience implementing CI/CD pipelines and deployment automation. - Knowledge of platform monitoring, optimization, and operational support. - Collaboration & Delivery - Experience partnering with business stakeholders to translate requirements into technical solutions. - Ability to advise teams on best practices, architecture, and platform capabilities. - Experience working within Agile, Scrum, Kanban, or SAFe delivery frameworks. - Strong documentation, communication, and stakeholder management skills. Benefits - Medical, Dental, Vision, Health Savings Accounts / Flexible Spending Accounts. - Life and AD&D Insurance. - 401(k). - Tuition Reimbursement. - Resources that encourage a lifetime of healthier living. - Compensation ranges from $133,200.00 - $195,000.00 annually, based on skills, experience, and education.