Senior Data Platform Architect

We are seeking a Senior Data Platform Architect to serve as a lead architect and guardian of our enterprise data infrastructure. This is a newly created, high-impact role aimed at bringing the architecture and management of our data platforms in-house, reporting directly to Clark’s Enterprise Data and Analytics lead. In this role, you will be a primary authority over our data ecosystems and platforms.

You will move beyond simply "managing platforms" to architecting a Unified Data Foundation through a combination of leading platforms like Snowflake, Databricks, AWS, Microsoft One Lake, and Microsoft Fabric. This foundation serves as the central engine that harmonizes data from across our business (Financial data, IoT and construction processes) to power our next generation of AI and analytics needs for 5000+ users.

• Technical Leadership:
  Serve as the senior technical lead for the platform, establishing the standards for how the platform is architected, managed, data is moved, stored, and secured.
• Foundational Data Modeling:
  Design the "Unified Core" of our data creating the logic and common connectors that allow data from various sources to be combined into a single, reliable source of truth for enterprise usage.
• Complex Data Integration:
  Architect and maintain mission‑critical data flows between disparate enterprise systems, and democratize data consumption to enable self‑serve analytics.
• Cross-platform Governance:
  Implement cross‑platform governance and security, ensuring seamless data movement and "Zero‑Copy" sharing across data storage and Data Lakehouse – for example, connectivity between Snowflake Iceberg tables and Microsoft One Lake, integration of SAP Business Data Cloud with Snowflake and Databricks.
• Platform Modernization:
  Develop and maintain long‑term roadmaps and drive healthy operating statistics for data platforms for security, performance and availability. Advise and execute on continuous innovation that will include feature augmentation and selection of new technologies.
• Data Governance and Catalog:
  Establish and scale corporate data catalog, ensuring 100% metadata coverage and establishing clear data stewardship roles to improve enterprise data discoverability and trust.
• System Stability & Scalability:
  Lead high‑priority infrastructure initiatives and upgrades, such as Snowflake upgrades and performance tuning to ensure a resilient, 24/7 production environment.
• Collaboration:
  
  Partner with business to ensure the underlying data architecture perfectly supports advanced visualization and machine learning deployments.

• 7–10+ years in data engineering, enterprise integration, or platform architecture.
• Hands‑on experience with Snowflake or Databricks, AWS infrastructure, Microsoft Fabric (One Lake), and ETL/ELT tools such as Talend, Matillion, Mulesoft or similar.
• Proficient in API integration patterns and complex scripting (e.g., Python, Lambda functions, SQL).
• Deep expertise in data lakehouse technologies and ability to lead an upgrade or migration independently.
• Proven track record of solving scaled problems and building platforms that support 1,000+ users.

• Experience supporting the adoption of AI/ML or other emerging capabilities.
• Expertise in BI tools such as Tableau, Microsoft Power BI, or Looker.
• Experience architecting, implementing, and managing highly scalable cloud‑based platforms (e.g., Azure Synapse/Fabric, AWS Redshift/S3/Postgres, Google Cloud Big Query/Storage).
• AWS Certified Cloud Practitioner – foundational knowledge of AWS Cloud infrastructure, security, and compliance.
• Experience in Project‑Based Industry (Construction, Engineering, or Consulting) is a plus.

Given that a good portion of your day will be spent at a desk, you should be comfortable with prolonged periods of focused work, whether it is collaborating with colleagues, analyzing data, or developing strategies. The role demands effective communication and sharp visual acuity for reviewing complex documents and performing detailed computer work. While there are times for quiet concentration, you will also be expected to move…