RQ00421 - Technology Architect - Senior

Must haves:

• Hands-on experience with data lake platforms (e.g., Microsoft Azure Synapse and Fabric, Databricks, Amazon S3/Lake Formation, Google BigLake, etc.) and ETL/ELT tools (e.g., Informatica, Azure Data Factory, etc.), with a strong understanding of data pipeline orchestration and cloud-native architectures.
  
• Understanding of metadata management, lineage tracking, and data classification frameworks
  

Responsibilities:

• Maintain scalable, secure, and highly available data lake architecture to support enterprise analytics, including supporting the evaluation, design and implementation of OH's next data lake
  
• Ensure cloud infrastructure (e.g., AWS, Azure, GCP) and storage configurations are optimized for performance, cost-efficiency, and compliance.
  
• Manage the selection, deployment, and lifecycle of data engineering tools and platforms (e.g., ETL/ELT pipelines, orchestration tools, data catalogs, monitoring tools).
  
• Drive automation and operational excellence through CI/CD for data pipelines
  
• Oversee the integration of internal and third-party data sources into the data lake
  
• Partner with data governance and security teams to enforce data privacy, access controls, and regulatory compliance.
  
• Work with ADH/EDW teams and cross-functional teams to implement deliverables from the internal ADH/EDW roadmap
  

Desired Skills:

• Awareness of emerging technologies, trends and directions
  
• Experience translating business requirements into reporting needs
  
• Experience preparing conceptual, logical and/or physical processes and data models
  
• Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills
  
• A team player with a track record for meeting deadlines
  

Required Skills:

• Leadership experience in the development and implementation of technical architectures
  
• Experience in structured methodologies for the design, development and implementation of applications
  
• Extensive experience in systems analysis and design in large systems environments
  
• Knowledge and experience designing processes around ITIL and is able to guide others using this methodology
  
• Experience developing, recommending, implementing and managing technical architecture
  
• Experience in developing enterprise architecture deliverables (e.g. models)
  

Required Experience / Evaluation Criteria:

• Hands-on experience with data lake platforms (e.g., Microsoft Azure Synapse and Fabric, Databricks, Amazon S3/Lake Formation, Google BigLake, etc.) and ETL/ELT tools (e.g., Informatica, Azure Data Factory, etc.), with a strong understanding of data pipeline orchestration and cloud-native architectures. : 40 Points
  
• Experience with metadata management, lineage tracking, and data classification frameworks.: 20 Points
  
• Leadership experience in the development and implementation of technical architectures.: 20 Points
  
• Strong written and oral communications skills. Must be able to communicate development strategy to technical and non-technical group members and communicate any issues found during development clearly.: 20 Points
  

Deliverables

The following is not an exhaustive list of deliverables, as some may be added during the duration of the contract. Some deliverables include:

• Establish PowerBI Integration with ADH
  
• Establish PHI Data Aggregation Guidelines
  
• Determine long-term technical solution(s) to provide PHI-level data to external stakeholders)
  
• Implement Metadata Tool in Production for ADH
  
• Determine Future ADH/EDW Data Lake (i.e. plan for next data lake, including strategy moving ADH/EDW to that platform)
  
• Review and recommendation on other analytics tools (e.g. SAS, Anaconda, etc.)
  

Must Haves:

• 7 years hands-on experience with data lake platforms (e.g., Microsoft Azure Synapse and Fabric, Databricks, Amazon S3/Lake Formation, Google BigLake, etc.) and ETL/ELT tools (e.g., Informatica, Azure Data Factory, etc.), with a strong understanding of data pipeline orchestration and cloud-native architectures.
  
• 7 years experience understanding metadata management, lineage tracking, and data classification frameworks