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Data Architect

3 months ago

McLean, United States RAIS USA Full time

Role: Data Architect

Location: McLean, Virginia


Data Architect position for building data warehouse and ETL solutions to drive

clinical operations, advanced analytics, and machine learning models. This position

will work collaboratively with the technology team to support our clinical, operational,

and finance teams to integrate data from diverse sources for consumption by internal

and external stakeholders

Responsibilities:

  • Drive innovations by keeping current on emerging technology and Data
  • Trends.
  • Plan, develop, improve, and maintain complex components of the
  • logical/physical Enterprise Data Warehouse and related models.
  • Ensure alignment and collaboration with technology, infrastructure, and
  • business stakeholders, taking ownership for essential data strategy decisions.
  • Establish, maintain, and enforce Enterprise Data Modeling and Data
  • Integration standards.
  • Responsible for the data integration and solution design for ingesting data
  • from various sources to the data warehouse.
  • Mapping of relational entities to use cases or business requirements and
  • assisting in the development of data services.
  • Influence projects to make decisions related to data strategies including data
  • quality, data architecture and data management best practices.
  • Work closely with the other Data Engineers, Data Analytics, and Scientists to
  • deliver results.
  • Understanding of large database mining tools and statistical languages
  • utilized to efficiently build approaches and execute on analytical use cases.
  • Responsible for the technical design, development, testing, maintenance, and
  • optimization of cloud-native data and automated ETL solutions.
  • Collaborate with Analytics & Reporting, Data Science, Machine Learning,
  • Analytics Engineering, IT Infrastructure, and other Technology teams in
  • solution design, development, and deployment.
  • Implement and adhere to security guidelines to safeguard Protected Health
  • Information (PHI) and establish secure communication channels for data
  • transfer.
  • Exercise Agile methodologies throughout the development processing, using
  • tools such as JIRA, confluence, and video communication to enhance
  • collaboration, documentation, and transparency.
  • Follow DevOps/DataOps best practices throughout Software Development
  • Life Cycle (SDLC)

Qualifications

Required Education and Experience:


  • Bachelor’s degree in computer science, Information Technology, Engineering,
  • Mathematics, or equivalent.
  • 10+ years of hands-on experience in Microsoft SQL Server database
  • development and administration roles.
  • 3+ years of experience in Data Architecture, Data Security, designing ELT
  • solution and including experience developing data governance and access
  • policies.
  • Demonstrated experience in reviewing enterprise and data architecture
  • artifacts, deliverables, and processes for quality standards.
  • 5+ years of experience with at least one database/data warehouse solution
  • (e.g., MySQL, MSSQL, Synapse, Snowflake, RedShift).
  • 3+ years of experience in a Azure environment and Terraform.
  • 2+ years of experience in at least one programming language (preferably
  • Python)
  • Must be able to research, present, and accurately articulate benefits and
  • goals of latest technologies.
  • Experience with data virtualization technologies and visualization tools.
  • Experience in designing and implementing data applications and data
  • architectures.
  • Experience with open-source data frameworks like Spark and/or experience
  • with cloud data platforms is preferred.
  • Healthcare experience in a Payer or Provider/Hospital Organization preferred.
  • Experience in Azure data technologies is a bonus (Azure Data Factory,
  • Synapse, Cosmos DB, Azure SQL).
  • Experience with DevOps/DataOps practices is a bonus.
  • Experience or familiar with Agile or a similar process.
  • 1+ years of EPIC integration experience required
  • Knowledge, Skills, and Abilities:
  • Experience using industry standard Python libraries for data exploration,
  • analysis, and transformation (e.g., Pandas, Numpy, etc.)
  • Experience using REST APIs
  • Proficient in writing SQL Code for SQL queries, views, stored procedures, etc.
  • Experience working with data housed in file formats including TXT, CSV,
  • JSON, YAML, Parquet, XLSX
  • Excellent communication skills
  • Problem solving aptitude and critical thinking skills.
  • Ability to thrive in a fast paced, changing environment