Kokosing Materials, Inc.
Data Architect page is loaded## Data Architectlocations:
Westerville, OHtime type:
Full timeposted on:
Posted 2 Days Agojob requisition id:
R-101302Kokosing (www.kokosing.biz) is one of America's 40 largest General Contractors and services a broad spectrum of clients in both the private and public business sectors. Kokosing's services include heavy civil/industrial construction such as highways, bridges, underground utilities, water/wastewater facilities, and marine construction. For over 70 years, Kokosing has successfully attracted the most qualified technical personnel in the construction industry by offering visible challenges, superior quality, and attractive rewards. With over $2.8 billion in annual sales and a commitment to its workforce, Kokosing is the winning team.**Job Description:**We are seeking a highly skilled **Senior Data Engineer / Data Architect** with extensive hands-on experience designing and implementing modern data solutions across cloud and on-prem environments. This role combines hands-on engineering with strategic architecture and leadership responsibilities.
It will be instrumental in building, optimizing, and developing governance frameworks for the enterprise data ecosystems that will drive actionable insights and business value.The ideal candidate combines deep expertise in **SQL, ETL pipelines, and modern cloud platforms** with strong problem-solving skills, data governance experience, and a proven ability to develop and execute the data architecture vision and roadmap aligned with business objectives while collaborating with both technical and business stakeholders.**Key Responsibilities*** **Data Engineering & Architecture**
+ Design, build, and optimize ETL pipelines using tools such as **SSIS, Azure Data Factory, Alteryx, and Databricks**.
+ Design & implement modern **data models, data lakes, data warehouses, data mesh, and cloud-native pipelines** across SQL Server, Snowflake, AWS and Azure ecosystems.
+ Develop and maintain **CI/CD pipelines** using Azure DevOps, GitHub Actions, Docker, and Terraform.
+ Lead the design and implementation of **Change Data Capture (CDC)** and data integration solutions.
+ Implement data quality, lineage, and cataloging solutions.* **Data Governance & Quality**
+ Establish and manage **data catalogs** and **governance frameworks** using tools like **Azure Purview** and **Databricks Unity Catalog**.
+ Ensure data quality, lineage, and security across distributed systems.
+ Document data architectures, pipelines, and standards to support maintainability and scalability.
+ In-depth knowledge of DAMA-BMBOK and DAMA International standards.* **Analytics & Business Enablement**
+ Build **dashboards and reporting solutions** in Power BI and Business Objects to deliver insights across HR, Finance, and Operations.
+ Identify high-value use cases for AI and predictive analytics in collaboration with stakeholders.
+ Partner with stakeholders to translate business requirements into scalable technical solutions.
+ Introduce and apply **AI/ML tools** (Databricks Genie Spaces, Gemini, ChatGPT, CoPilot) to accelerate innovation and automation.* **Leadership & Collaboration**
+ Serve as the technical leader and subject matter expert for data and AI/ML.
+ Mentor junior engineers and analysts, promoting best practices in coding, design, and data strategy.
+ Serve as a trusted advisor to cross-functional teams, providing expertise in database optimization, performance tuning, and workflow automation.
+ Lead development collaboration efforts, including vendor evaluation and recruitment of data engineers, analysts, and data scientists as the team expands.**Qualifications****Required*** **10+ years** of progressive experience in **data engineering, architecture, and analytics** roles.* Proven expertise with **SQL, Python, and C#** for building enterprise-grade data solutions.* Hands-on experience with **cloud platforms**: Azure (Azure SQL, Data Factory, Databricks, Purview) and AWS (Glue, S3).* Strong background in **data modeling, ETL design, governance, and performance tuning**.* Experience with **DevOps practices** (Azure DevOps, GitHub Actions, Docker, Terraform).* Proficiency with **reporting/BI tools** (Power BI, Tableau, Business Objects, SSRS).* Familiarity with **AI/automation tools** (Databricks Genie Spaces, ChatGPT, Gemini).* Excellent communication skills and ability to collaborate with technical and non-technical stakeholders.* Bachelor’s degree in Computer Science, Engineering, or related field (Mechanical Engineering background a plus).**Preferred*** Experience and knowledge of the construction industry (construction, field operations, IoT, financials).* Demonstratable experience delivering IT-solutions that drove innovation.**Certifications (Preferred)*** Microsoft **Azure Fundamentals*** Microsoft **Azure Data Fundamentals*** Microsoft **Azure Security Fundamentals*** **Teradata Vantage** CertifiedKokosing is an equal employment opportunity/affirmative action federal and state contractor. The company does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected class. #J-18808-Ljbffr
Westerville, OHtime type:
Full timeposted on:
Posted 2 Days Agojob requisition id:
R-101302Kokosing (www.kokosing.biz) is one of America's 40 largest General Contractors and services a broad spectrum of clients in both the private and public business sectors. Kokosing's services include heavy civil/industrial construction such as highways, bridges, underground utilities, water/wastewater facilities, and marine construction. For over 70 years, Kokosing has successfully attracted the most qualified technical personnel in the construction industry by offering visible challenges, superior quality, and attractive rewards. With over $2.8 billion in annual sales and a commitment to its workforce, Kokosing is the winning team.**Job Description:**We are seeking a highly skilled **Senior Data Engineer / Data Architect** with extensive hands-on experience designing and implementing modern data solutions across cloud and on-prem environments. This role combines hands-on engineering with strategic architecture and leadership responsibilities.
It will be instrumental in building, optimizing, and developing governance frameworks for the enterprise data ecosystems that will drive actionable insights and business value.The ideal candidate combines deep expertise in **SQL, ETL pipelines, and modern cloud platforms** with strong problem-solving skills, data governance experience, and a proven ability to develop and execute the data architecture vision and roadmap aligned with business objectives while collaborating with both technical and business stakeholders.**Key Responsibilities*** **Data Engineering & Architecture**
+ Design, build, and optimize ETL pipelines using tools such as **SSIS, Azure Data Factory, Alteryx, and Databricks**.
+ Design & implement modern **data models, data lakes, data warehouses, data mesh, and cloud-native pipelines** across SQL Server, Snowflake, AWS and Azure ecosystems.
+ Develop and maintain **CI/CD pipelines** using Azure DevOps, GitHub Actions, Docker, and Terraform.
+ Lead the design and implementation of **Change Data Capture (CDC)** and data integration solutions.
+ Implement data quality, lineage, and cataloging solutions.* **Data Governance & Quality**
+ Establish and manage **data catalogs** and **governance frameworks** using tools like **Azure Purview** and **Databricks Unity Catalog**.
+ Ensure data quality, lineage, and security across distributed systems.
+ Document data architectures, pipelines, and standards to support maintainability and scalability.
+ In-depth knowledge of DAMA-BMBOK and DAMA International standards.* **Analytics & Business Enablement**
+ Build **dashboards and reporting solutions** in Power BI and Business Objects to deliver insights across HR, Finance, and Operations.
+ Identify high-value use cases for AI and predictive analytics in collaboration with stakeholders.
+ Partner with stakeholders to translate business requirements into scalable technical solutions.
+ Introduce and apply **AI/ML tools** (Databricks Genie Spaces, Gemini, ChatGPT, CoPilot) to accelerate innovation and automation.* **Leadership & Collaboration**
+ Serve as the technical leader and subject matter expert for data and AI/ML.
+ Mentor junior engineers and analysts, promoting best practices in coding, design, and data strategy.
+ Serve as a trusted advisor to cross-functional teams, providing expertise in database optimization, performance tuning, and workflow automation.
+ Lead development collaboration efforts, including vendor evaluation and recruitment of data engineers, analysts, and data scientists as the team expands.**Qualifications****Required*** **10+ years** of progressive experience in **data engineering, architecture, and analytics** roles.* Proven expertise with **SQL, Python, and C#** for building enterprise-grade data solutions.* Hands-on experience with **cloud platforms**: Azure (Azure SQL, Data Factory, Databricks, Purview) and AWS (Glue, S3).* Strong background in **data modeling, ETL design, governance, and performance tuning**.* Experience with **DevOps practices** (Azure DevOps, GitHub Actions, Docker, Terraform).* Proficiency with **reporting/BI tools** (Power BI, Tableau, Business Objects, SSRS).* Familiarity with **AI/automation tools** (Databricks Genie Spaces, ChatGPT, Gemini).* Excellent communication skills and ability to collaborate with technical and non-technical stakeholders.* Bachelor’s degree in Computer Science, Engineering, or related field (Mechanical Engineering background a plus).**Preferred*** Experience and knowledge of the construction industry (construction, field operations, IoT, financials).* Demonstratable experience delivering IT-solutions that drove innovation.**Certifications (Preferred)*** Microsoft **Azure Fundamentals*** Microsoft **Azure Data Fundamentals*** Microsoft **Azure Security Fundamentals*** **Teradata Vantage** CertifiedKokosing is an equal employment opportunity/affirmative action federal and state contractor. The company does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected class. #J-18808-Ljbffr