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 OHs 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)
  
  

Requirements

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