Unlock Premium Benefits Today!
🚀 Elevate your career with priority access.
Stand out to top recruiters with Jobgether Priority Access:
  • ✅ Top Match: We help you identify job offers where you're a perfect fit.
  • ✅ Exclusive Referral Service: Connect directly with recruiters as a Jobgether Certified Premium User.
  • ✅ Personalized Feedback: Receive feedback and expert guidance on applications, and have your profile manually reviewed.

Start Your Free Trial Now!

Start my free trial

Data Architect (Azure and Databricks)

Remote: 
Full Remote
Contract: 
Full time
Work from: 
India

Offer summary

Qualifications:

Extensive experience in data architecture design and implementation., Strong software engineering background with expertise in Python or Scala., Deep understanding of Databricks platform and Lakehouse architecture., Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred..

Key responsabilities:

  • Design and implement modern data architectures using Databricks Lakehouse platform.
  • Lead the technical design of Data Warehouse/Data Lake migration initiatives from legacy systems.
  • Establish CI/CD pipelines and infrastructure-as-code practices for data solutions.
  • Provide technical leadership to data engineering teams and mentor junior members.

Rackspace Technology logo
Rackspace Technology Large https://www.rackspace.com
5001 - 10000 Employees
See all jobs

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 

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Microsoft AzureDatabricksPython (Programming Language)Data ArchitectureData EngineeringGit (Version Control System)KubernetesApache SparkSQL (Programming Language)NoSQLCI/CDInfrastructure as Code (IaC)Health Data StandardsDocker (Software)Data GovernanceData ModelingData QualityClinical Database DevelopmentAWS CloudFormationScala (Programming Language)Healthcare AnalyticsFast Healthcare Interoperability Resources (FHIR)Hl7 V2TerraformHealthcare Industry Knowledge

Other Skills

  • Mentorship
  • Collaboration
Are you interested?

Data Architect Related jobs

See more Data Architect jobs