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Data Engineer Manager Jobs in Orangeburg, SC (NOW HIRING)

Zeus

Sr Manager Data & Information Architecture

Orangeburg, SC · On-site

$64.50 - $86.25/hr

The Senior Manager, Data and Information Architecture leads the strategy, design, and governance of ... The position ensures alignment across data engineering, analytics, AI/ML, and enterprise platforms ...

Stbancorp

Product Engineer

North, SC

The Product Engineer is a strategic, hands-on technical product leader responsible for the end-to ... data platforms, identity, cloud services); manage change control and release governance.

Flex

Quality Engineering Co-Op - Spring 2027

Orangeburg, SC · On-site

$69K - $89K/yr

Reporting to the Quality Engineering Manager, the student will assist the Quality Team with ... Collect, organize, and analyze quality-related data to identify trends, defects, or improvement ...

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Data Engineer Manager information

See Orangeburg, SC salary details

$42.7K

$124.4K

$170.2K

How much do data engineer manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer manager in Orangeburg, SC is $124,385.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,800.00 and $131,800.00 per year, depending on experience, location, and employer.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

What are the most commonly searched types of Data Engineer jobs in Orangeburg, SC?

The most popular types of Data Engineer jobs in Orangeburg, SC are:

What cities near Orangeburg, SC are hiring for Data Engineer Manager jobs?

Cities near Orangeburg, SC with the most Data Engineer Manager job openings:

Data Engineer Manager jobs near you

Sr Manager Data & Information Architecture

Zeus Company, Inc.

Orangeburg, SC • On-site

$53 - $71/hr

Full-time

Re-posted 29 days ago

Job description


The Senior Manager, Data and Information Architecture leads the strategy, design, and governance of enterprise data architecture to enable scalable, secure, and high-quality data foundations across the organization. This role owns the definition and evolution of data architecture standards, information models, and data platform integration patterns that underpin analytics, AI, and operational systems.
Operating within the broader Data & AI organization, this role translates business and technology priorities into cohesive, AI-ready data architecture strategies. The position ensures alignment across data engineering, analytics, AI/ML, and enterprise platforms, and plays a critical role in establishing a modern, governed, and interoperable data ecosystem that supports enterprise-scale data, AI, and digital transformation initiatives.
Responsibilities
  • Define and execute the enterprise data architecture strategy aligned with organizational data, analytics, and AI objectives.
  • Partner with business leaders and Digital Transformation teams to establish unified, trusted data sources (Master Data / "Golden Record"), improve cross-platform integration, and ensure high data quality for digitized processes.
  • Establish enterprise standards for data modeling, information architecture, integration, metadata management, and data lifecycle management.
  • Own and evolve the enterprise data architecture roadmap, balancing scalability, performance, governance, and cost efficiency.
  • Define canonical data models, semantic layers, and domain-oriented architectures (e.g., data mesh, data products, domain-driven design).
  • Establish architecture patterns that support advanced analytics, AI/ML, knowledge management, semantic retrieval, and emerging agent-based systems.
  • Design and govern enterprise data platforms including data lakes, data warehouses, lakehouses, and real-time/streaming systems.
  • Ensure alignment between data architecture, AI/ML platforms (e.g., feature stores, model pipelines), and analytics ecosystems to enable reusable and scalable data products.
  • Define and enforce enterprise data governance policies, standards, and best practices.
  • Drive measurable improvements in data quality, consistency, and trust across critical data domains.
  • Partner with security and compliance teams to ensure adherence to privacy, regulatory, and enterprise security requirements.
  • Establish and operationalize data stewardship, ownership, and accountability models.
  • Partner closely with Data Engineering, Analytics, AI/ML, and IT teams to ensure successful implementation of architecture standards and solutions.
  • Oversee the architectural integrity, scalability, and lifecycle management of enterprise data platforms.
  • Enable efficient, governed, and scalable data access for analytics, AI, and operational use cases.
  • Lead architecture and design reviews to ensure adherence to standards and long-term sustainability.
  • Build and lead a high-performing data architecture function focused on innovation, standardization, and business value.
  • Establish reusable architecture patterns, frameworks, and playbooks for enterprise adoption.
  • Attract, retain, and develop top-tier data architecture and engineering talent.
  • Reports directly to the VP of AI, Machine Learning and Data Services.
  • Owns and enforces enterprise data architecture standards across data engineering, analytics, and AI/ML teams.
  • Leads or co-leads enterprise data platform evaluation and selection decisions with executive visibility.
  • Influences design and investment decisions across the full enterprise data and AI platform portfolio.

Qualifications
  • Bachelor's degree in computer science, Information Systems, Data Engineering, or related field.
  • 10+ years of experience in data architecture, data engineering, or enterprise data management, including 4+ years of leadership.
  • Strong expertise in modern data architecture patterns (data warehouse, lakehouse, data mesh, real-time/streaming architectures) to enable scalable, AI-ready ecosystems.
  • Deep experience in data modeling (conceptual, logical, physical), semantic layers, and metadata management.
  • Proven experience designing and scaling enterprise data platforms in cloud environments (Azure, AWS, Snowflake, Databricks, etc.).
  • Strong understanding of data integration patterns (ETL/ELT, APIs, event-driven architectures).
  • Demonstrated ability to align data architecture with business strategy and deliver enterprise-scale outcomes.
  • Excellent stakeholder management, communication, and leadership skills in matrixed environments.

Preferred
  • Experience with modern data platforms (Snowflake, Databricks, Azure Synapse).
  • Familiarity with data governance tools, data catalogs, lineage, and MDM platforms.
  • Experience with domain-oriented architectures (data mesh, data products).
  • Exposure to AI/ML data pipelines, feature stores, and data architectures supporting GenAI use cases.
  • Experience in manufacturing or complex enterprise environments with highly heterogeneous data sources.

About Us
Zeus Industrial Products, headquartered in Orangeburg, South Carolina, is the world's leading polymer extrusion manufacturer and material science innovator. More than 50 years of experience in medical, aerospace, energy, automotive, fiber optics, and more allows us to set the bar high.
Zeus is a great place to work. Expectations are high; our work is meticulous and very precise. Zeus offers an opportunity to join a very successful, family-oriented team. Our products are cutting-edge, our process is unique, and our quality and customer focus are second-to-none. We are a leader in our field and have great relationships with our customers and team members. Many of our team members are the best at what they do in the world. Our customers are leaders in their fields. Our products help save lives.
Continuous Improvement is a way of life at Zeus. Successful candidates will have a desire and ability to take our manufacturing process to the next level. Expectations are high; our work is meticulous and very precise. You must possess the ability to work independently; and the desire to learn a variety of skills. The ability to communicate clearly is imperative, as is the ability to manipulate data using various software packages.
At Zeus, what we do matters, and we pride ourselves in "Turning polymers into possibilities." Expectations are high; our products are cutting-edge, our process is unique, and our quality and customer focus are second-to-none.
Our employees and our customers are at the center of everything we do. Those relationships have been built on a foundation that is supported by our Mission and Vision:
Our Mission: Provide Solutions - Enable Innovation - Enhance Lives
Our Vision: Working Together - Doing It Better
Zeus is an exciting, innovative company that offers competitive pay and a great benefits package. As we continue to push the boundaries of polymer science, we're constantly in need of new ideas, new expertise, and new team members. Are you ready to join us?
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