> Markdown version of [/jobs/ext/2419233-data-engineering-manager](https://www.wearedevelopers.com/jobs/ext/2419233-data-engineering-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineering Manager - **Company:** The Intersect Group - **Location:** Greenville, SC, United States - **Experience:** Experienced - **Salary:** $125,000.0 - $145,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, ARM Architecture, Big Data, Cloud Engineering, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Transformation, Data Vault Modeling, Data Warehousing, Programming Tools, Dimensional Modeling, IBM Cognos Business Intelligence, Microsoft SQL Server, Software Tools, GitHub Copilot, Snowflake, Data Strategy, Data Lakes, Information Technology, Enterprise Integration, Data Management, Data Pipelines, Alteryx - **Published:** August 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=fac435ca9cf62ce2 ## About the Role * 7+ years of experience in Data Engineering, Data Warehousing, Data Platform Engineering, or related disciplines * 3+ years of experience leading technical teams with direct responsibility for hiring, performance management, coaching, and team development * Proven track record building, mentoring, and scaling high performing engineering teams * Strong hands on experience developing end to end data pipelines and enterprise data integration solutions * Expertise with Apache Airflow for orchestration and workflow management * Experience with dbt and/or Coalesce for data transformation and modeling * Deep understanding of dimensional modeling, Kimball methodology, and Data Vault 2.0 principles * Experience designing and supporting enterprise data warehouse and data lake architectures * Strong data architecture background with experience building scalable analytics platforms * Experience developing source to target mappings and managing complex data integration initiatives * Knowledge of data governance frameworks, data quality standards, lineage, and analytics best practices * Experience balancing people leadership responsibilities with hands on technical contribution * Strong communication and stakeholder management skills with the ability to collaborate across business and technical teams * Experience presenting recommendations and technical strategies to department leaders and executive stakeholders * Demonstrated ability to drive organizational maturity, process improvement, and engineering excellence * Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field preferred * Master's degree is a plus Preferred Qualifications * Experience with Snowflake and modern cloud based data platforms * Experience supporting enterprise reporting and analytics environments * Knowledge of Cognos, Sigma, SQL Server, or similar enterprise data technologies * Experience within financial services, banking, or highly regulated industries * Exposure to Alteryx * Experience utilizing AI enabled development tools such as Claude Code, GitHub Copilot, Cortex, or similar platforms ## Description We are seeking a Data Engineering Manager to lead a growing team responsible for building and evolving the organization's modern data ecosystem. This role offers a unique opportunity to combine people leadership, technical strategy, architecture, and hands on engineering while partnering closely with senior leadership on high impact initiatives. The Data Engineering Manager will oversee a team of Data and Platform Engineers while remaining actively involved in data engineering efforts, architecture decisions, and platform development. This individual will play a key role in advancing the organization's Snowflake journey, maturing data engineering practices, and driving the delivery of scalable, analytics ready solutions that support enterprise decision making., * Lead, mentor, and develop a team of Data Engineers and Platform Engineers while fostering a high performing and collaborative culture * Participate in hiring, onboarding, performance management, coaching, and career development activities * Design, build, and optimize enterprise data pipelines, data warehouses, and modern data architectures * Provide technical leadership and architectural guidance across data engineering initiatives * Develop and support dimensional models, business data models, and analytics ready datasets * Establish and enforce best practices related to data quality, governance, lineage, and engineering standards * Create and maintain source to target mappings and oversee enterprise data integration efforts * Partner with business leaders and technology stakeholders to translate requirements into scalable technical solutions * Support the ongoing evolution of modern cloud and data platform capabilities, including Snowflake initiatives * Contribute hands on to development, scripting, troubleshooting, and solution delivery when needed * Drive adoption of modern engineering tools, automation, and AI assisted development practices * Collaborate with leadership to define long term data strategy, governance frameworks, and platform roadmaps ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)