Data architect- Ohio

Info Origin Inc; Columbus (OH); On-site; USD 69,000 - 83,000; Full time

Job summary

Info Origin Inc is seeking a Data Architect in Ohio to design and govern scalable ELT pipelines, lakehouse data architecture, and reporting solutions in cloud environments. You will implement standards for data models, schemas, and semantic layers, while guiding data migrations and governance programs.

The role requires deep hands-on experience with SQL, Python, and cloud platforms, plus expertise in Medallion Architecture and modern BI tooling.

Qualifications

• 5+ years of hands-on experience designing and implementing enterprise data warehouse, data lake, or Lakehouse solutions.
• Expert-level SQL skills, including query optimization and development of complex analytical datasets.
• Experience developing automated ELT pipelines using Python, SQL, and modern cloud data platform technologies.

Responsibilities

• ELT Pipeline Engineering & Automation: designs and maintains programmatic ELT pipelines for Medallion stages.
• Advanced Data Modeling & Cloud Data Architecture: designs scalable Medallion Architecture across cloud environments.
• Develop and document standards/best practices for pipelines, architecture, modeling, and migration efforts.
• Data migrations, business process monitoring and security model designs for data exchange.
• Reporting BI: defines data warehouse design and implements warehouses, marts, dashboards, and enterprise reporting.
• Modern Data Governance, Metadata Management & Cataloging: manages Alation catalog, data lineage, and data quality frameworks.
• Mentoring: plans and conducts mentorship activities for peers or junior staff.

Skills

SQL

Python

ETL pipelines

Cloud data platforms

Data warehousing

Dimensional modeling

Data governance

APIs & JSON ingestion

Analytics

Education

Bachelor’s Degree in Data Analytics

Bachelor’s Degree in Computer Science

Tools

Snowflake

dbt

Alation

API ingestion tooling

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data architect- Ohio

Columbus, OH, US

2 days ago Requisition ID: 2411

Salary Range: $50.00 To $60.00 Hourly

Job Description

Key Responsibilities: 1. ELT Pipeline Engineering & Automation.a. Pipeline Orchestration: Designs and maintains programmatic, automated ELT pipelines (i.e. SQL, Python, or modern cloud data tools) to process data incrementally through the Medallion stages. b. Performance Tuning: Conducts query and cluster tuning for modern cloud data platforms, ensuring highly optimized compute usage during heavy data transformations and processing. c. Data Migration Execution: Writes robust code to safely migrate legacy databases and files into automated Lakehouse ingestion pipelines. 2. Advanced Data Modeling & Cloud Data Architecture.a. Lakehouse Strategy: Works with IT Architecture staff to design and implement a scalable, secure Medallion Data Architecture across cloud environments. b. Layer Optimization: Establishes standards, schemas, and file formats (i.e. Iceberg, Parquet) for ingestion and data lake processing. c. Analytical Modeling: Designs highly efficient physical and logical data structures within the Gold layer, including modern dimensions, facts, and business entity schemas. d. Schema Evolution: Builds resilient data models capable of handling semi-structured data (JSON, API payloads) alongside structured data, maintaining robust version control of data contracts. e. Semantic Layer Design: Transforms complex business reporting requirements into user-friendly semantic layers that support self-service business intelligence. 3. Develop and document standards/best practices.a. Creates documentation of pipelines, architecture, modeling, and migration efforts. 4. Data migrations, business process monitoring.a. Designs standards for the exchange of data between systems, including data security models 5. Reporting business intelligence.a. Understands business intelligence data needs. b. Defines the data warehouse/business intelligence design. c. Implements data warehouses and data marts. d. Implements business intelligence tools and user interfaces. e. Implements enterprise reporting. f. Implements management dashboards and scorecards. g. Implements analytic applications. h. Replicates and transforms data for business intelligence. 6. Modern Data Governance, Metadata Management & Cataloginga. Metadata Integration: Manages and curates the Alation Data Catalog, ensuring all tables, schemas, and views across the Bronze, Silver, and Gold layers are thoroughly indexed, classified, and tagged. b. Lakehouse Data Lineage: Maps and monitors complex, end-to-end data lineage from source applications down to Gold-layer reporting assets within Alation. c. Data Quality Frameworks: Designs programmatic data validation and testing protocols at the boundary between the Bronze and Silver layers to enforce strict enterprise data stewardship. 7. Mentoring.a. Plans and conducts formal mentorship activities for peers and/or lower-level staff via verbal instruction or technical documentation. Mandatory skills

• 5+ years of hands-on experience designing and implementing enterprise data warehouse, data lake, or Lakehouse solutions
• Expert-level SQL skills, including query optimization, performance tuning, and development of complex analytical datasets
• Experience developing automated ELT pipelines using Python, SQL, and modern cloud data platform technologies
• Hands-on experience implementing and supporting Snowflake-based data engineering, data warehousing, and analytics solutions
• Experience designing and managing Medallion Architecture (Bronze, Silver, Gold) data platforms and associated data processing standards Advanced experience with dimensional data modeling, including fact tables, dimensions, star schemas, and semantic layer design
• Experience integrating structured and semi-structured data sources, including APIs, JSON, and file-based ingestion frameworks
• Hands-on experience administering enterprise data catalog and governance platforms such as Alation
• Experience implementing data governance, metadata management, data lineage, and data quality frameworks
• Experience executing data migration and modernization initiatives
• Ability to define technical standards, best practices, and architecture documentation for enterprise data platforms
• Ability to work independently and lead complex, cross-functional data architecture and engineering initiatives
• Excellent communication skills and ability to collaborate with technical teams, business stakeholders, and executive leadership

Key Responsibilities: 1. ELT Pipeline Engineering & Automation.a. Pipeline Orchestration: Designs and maintains programmatic, automated ELT pipelines (i.e. SQL, Python, or modern cloud data tools) to process data incrementally through the Medallion stages. b. Performance Tuning: Conducts query and cluster tuning for modern cloud data platforms, ensuring highly optimized compute usage during heavy data transformations and processing. c. Data Migration Execution: Writes robust code to safely migrate legacy databases and files into automated Lakehouse ingestion pipelines. 2. Advanced Data Modeling & Cloud Data Architecture.a. Lakehouse Strategy: Works with IT Architecture staff to design and implement a scalable, secure Medallion Data Architecture across cloud environments. b. Layer Optimization: Establishes standards, schemas, and file formats (i.e. Iceberg, Parquet) for ingestion and data lake processing. c. Analytical Modeling: Designs highly efficient physical and logical data structures within the Gold layer, including modern dimensions, facts, and business entity schemas. d. Schema Evolution: Builds resilient data models capable of handling semi-structured data (JSON, API payloads) alongside structured data, maintaining robust version control of data contracts. e. Semantic Layer Design: Transforms complex business reporting requirements into user-friendly semantic layers that support self-service business intelligence. 3. Develop and document standards/best practices.a. Creates documentation of pipelines, architecture, modeling, and migration efforts. 4. Data migrations, business process monitoring.a. Designs standards for the exchange of data between systems, including data security models 5. Reporting business intelligence.a. Understands business intelligence data needs. b. Defines the data warehouse/business intelligence design. c. Implements data warehouses and data marts. d. Implements business intelligence tools and user interfaces. e. Implements enterprise reporting. f. Implements management dashboards and scorecards. g. Implements analytic applications. h. Replicates and transforms data for business intelligence. 6. Modern Data Governance, Metadata Management & Cataloginga. Metadata Integration: Manages and curates the Alation Data Catalog, ensuring all tables, schemas, and views across the Bronze, Silver, and Gold layers are thoroughly indexed, classified, and tagged. b. Lakehouse Data Lineage: Maps and monitors complex, end-to-end data lineage from source applications down to Gold-layer reporting assets within Alation. c. Data Quality Frameworks: Designs programmatic data validation and testing protocols at the boundary between the Bronze and Silver layers to enforce strict enterprise data stewardship. 7. Mentoring.a. Plans and conducts formal mentorship activities for peers and/or lower-level staff via verbal instruction or technical documentation. Mandatory skills

• 5+ years of hands-on experience designing and implementing enterprise data warehouse, data lake, or Lakehouse solutions
• Expert-level SQL skills, including query optimization, performance tuning, and development of complex analytical datasets
• Experience developing automated ELT pipelines using Python, SQL, and modern cloud data platform technologies
• Hands-on experience implementing and supporting Snowflake-based data engineering, data warehousing, and analytics solutions
• Experience designing and managing Medallion Architecture (Bronze, Silver, Gold) data platforms and associated data processing standards Advanced experience with dimensional data modeling, including fact tables, dimensions, star schemas, and semantic layer design
• Experience integrating structured and semi-structured data sources, including APIs, JSON, and file-based ingestion frameworks
• Hands-on experience administering enterprise data catalog and governance platforms such as Alation
• Experience implementing data governance, metadata management, data lineage, and data quality frameworks
• Experience executing data migration and modernization initiatives
• Ability to define technical standards, best practices, and architecture documentation for enterprise data platforms
• Ability to work independently and lead complex, cross-functional data architecture and engineering initiatives
• Excellent communication skills and ability to collaborate with technical teams, business stakeholders, and executive leadership

Certifications or Desired skills if any

• Experience with Snowflake cloud-native architecture, including Snowflake Warehouses, Snowpark, Streams, Tasks, and secure data sharing Familiarity with data modeling (i.e. ER Studio) and modern modeling methodologies
• Experience working in Agile, iterative, or rapidly evolving solution environments
• Experience with enterprise data cataloging, metadata management, and data lineage tools (e.g., Alation)

Nice To Have Skills

• Strong work ethic/Time & attendance punctuality
• Experience with dbt

Preferred Education:

• Bachelor’s Degree in Data Analytics, Computer Science, Information Technology, Computer Engineering, or a closely related field.