Senior Data Platform Architect & Governance Specialist (Snowflake, Lakehouse, Alation)

Hybrid in Columbus, OH, US • Posted 2 hours ago • Updated 2 hours ago
Contract Independent
Contract Corp To Corp
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • data platform architect
  • ELT
  • Medallion
  • Alation Data Catalog

Summary

Senior Data Platform Architect & Governance Specialist (Snowflake, Lakehouse, Alation)

Location: Remote (Franklin County, OH). Candidates must be located in Ohio.
Interview: Teams
Travel: Occasional, for meetings as needed
 

About the Role
We’re looking for a senior data platform architect (DBA 4) to design and run a modern cloud Lakehouse built on a Medallion (Bronze, Silver, Gold) architecture. You’ll build automated ELT pipelines, design the data models behind self-service BI, and own data governance and cataloging in Alation. You’ll also mentor peers and junior staff.

What You’ll Do

  • Design and maintain automated ELT pipelines (SQL, Python, and cloud data tools) that move data incrementally through the Medallion layers
  • Tune queries and compute for heavy transformation workloads on modern cloud data platforms
  • Migrate legacy databases and files into automated Lakehouse ingestion pipelines
  • Set standards, schemas, and file formats (Iceberg, Parquet) for ingestion and data lake processing
  • Design dimensional models (facts, dimensions, star schemas) and semantic layers that support self-service BI
  • Build data models that handle semi-structured data (JSON, API payloads) alongside structured data, with version-controlled data contracts
  • Curate the Alation Data Catalog and map end-to-end data lineage from source systems to Gold-layer reports
  • Design data validation and quality frameworks at the Bronze-to-Silver boundary
  • Implement data warehouses, data marts, dashboards, and enterprise reporting
  • Document pipelines, architecture, and standards, and mentor team members

Required Qualifications

  • 5+ years designing and implementing enterprise data warehouse, data lake, or Lakehouse solutions
  • Expert-level SQL, including query optimization, performance tuning, and complex analytical datasets
  • Automated ELT pipeline development using Python, SQL, and modern cloud data platforms
  • Hands-on Snowflake experience across data engineering, warehousing, and analytics
  • Medallion Architecture (Bronze, Silver, Gold) design and management
  • Advanced dimensional modeling and semantic layer design
  • Experience integrating structured and semi-structured sources: APIs, JSON, and file-based ingestion
  • Hands-on administration of enterprise data catalog and governance platforms such as Alation
  • Experience with data governance, metadata management, lineage, and data quality frameworks
  • Data migration and modernization experience
  • Ability to define technical standards and architecture documentation, and to lead complex, cross-functional initiatives
  • Excellent communication skills with technical teams, business stakeholders, and executives

Preferred Qualifications

  • Snowflake cloud-native features: Warehouses, Snowpark, Streams, Tasks, and secure data sharing
  • Data modeling tools such as ER Studio and modern modeling methodologies
  • Agile or iterative delivery experience
  • dbt experience
  • Bachelor’s degree in Data Analytics, Computer Science, IT, Computer Engineering, or a related field

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10204540
  • Position Id: 87545-2308-1794001190
  • Posted 2 hours ago
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