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Rackspace

Data Architect (Azure and Databricks)

Job Summary

The role involves designing and implementing modern data architectures using the Databricks Lakehouse platform, with a focus on data migration, governance, and security. The candidate should have extensive experience in data engineering frameworks, CI/CD practices, and cloud platforms, especially within the healthcare industry. Responsibilities include leading technical design efforts, establishing reusable components, and mentoring team members. The position requires strong software engineering skills, familiarity with data catalog solutions, and knowledge of healthcare data standards and regulations.

Required Skills

Data Architecture
Data Engineering
Data Modeling
Data Migration
Databricks
Data Quality
Data Governance
Infrastructure-as-Code
Apache Spark
CI/CD Pipelines
Delta Lake
Cloud Platforms (AWS, Azure, GCP)
Lakehouse
Data Catalog
Programming (Python, Scala)

Job Description

Overview

We are seeking an experienced Data Architect with extensive expertise in designing and implementing modern data architectures. This role requires strong software engineering principles, hands-on coding abilities, and experience building data engineering frameworks. The ideal candidate will have a proven track record of implementing Databricks-based solutions in the healthcare industry, with expertise in data catalog implementation and governance frameworks.

About the Role

As a Data Architect, you will be responsible for designing and implementing scalable, secure, and efficient data architectures on the Databricks platform. You will lead the technical design of data migration initiatives from legacy systems to modern Lakehouse architecture, ensuring alignment with business requirements, industry best practices, and regulatory compliance.



Key Responsibilities
  • Design and implement modern data architectures using Databricks Lakehouse platform
  • Lead the technical design of Data Warehouse/Data Lake migration initiatives from legacy systems
  • Develop data engineering frameworks and reusable components to accelerate delivery
  • Establish CI/CD pipelines and infrastructure-as-code practices for data solutions
  • Implement data catalog solutions and governance frameworks
  • Create technical specifications and architecture documentation
  • Provide technical leadership to data engineering teams
  • Collaborate with cross-functional teams to ensure alignment of data solutions
  • Evaluate and recommend technologies, tools, and approaches for data initiatives
  • Ensure data architectures meet security, compliance, and performance requirements
  • Mentor junior team members on data architecture best practices
  • Stay current with emerging technologies and industry trends


Qualifications
  • Extensive experience in data architecture design and implementation
  • Strong software engineering background with expertise in Python or Scala
  • Proven experience building data engineering frameworks and reusable components
  • Experience implementing CI/CD pipelines for data solutions
  • Expertise in infrastructure-as-code and automation
  • Experience implementing data catalog solutions and governance frameworks
  • Deep understanding of Databricks platform and Lakehouse architecture
  • Experience migrating workloads from legacy systems to modern data platforms
  • Strong knowledge of healthcare data requirements and regulations
  • Experience with cloud platforms (AWS, Azure, GCP) and their data services
  • Bachelor's degree in computer science, Information Systems, or related field; advanced degree preferred


Technical Skills
  • Programming languages: Python and/or Scala (required)
  • Data processing frameworks: Apache Spark, Delta Lake
  • CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
  • Infrastructure-as-code (optional): Terraform, CloudFormation, Pulumi
  • Data catalog tools: Databricks Unity Catalog, Collibra, Alation
  • Data governance frameworks and methodologies
  • Data modeling and design patterns
  • API design and development
  • Cloud platforms: AWS, Azure, GCP
  • Container technologies: Docker, Kubernetes
  • Version control systems: Git
  • SQL and NoSQL databases
  • Data quality and testing frameworks


Optional - Healthcare Industry Knowledge
  • Healthcare data standards (HL7, FHIR, etc.)
  • Clinical and operational data models
  • Healthcare interoperability requirements
  • Healthcare analytics use cases



Interested in this job?

Application deadline: Open until filled

Logo of Rackspace

Rackspace

As a cloud computing services pioneer, we deliver proven multicloud solutions across your apps, data, and security. Maximize the benefits of modern cloud.

See more jobs
Date PostedApril 7th, 2025
Job TypeFull Time
LocationRemote
SalaryCompetitive rates
Exciting fully remote opportunity for a Data Architect (Azure and Databricks) at Rackspace. Offering competitive salary (full time). Explore more remote jobs on FlexHired!

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