Data Architect (Azure and Databricks) - IN

Rackspace Technology

Gurugram District

On-site

INR 2,000,000 - 4,000,000

Full time

14 days+

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Job summary

A leading tech company is seeking a Data Architect skilled in Azure and Databricks to design modern data architectures and lead migration efforts. The ideal candidate will have extensive experience in the healthcare industry, proficiency in data engineering frameworks, and strong software engineering skills. Join a dynamic team committed to innovation and excellence in technology.

Qualifications

Extensive experience in data architecture and implementation.
Strong skills in Python or Scala and experience with CI/CD.
Proven track record in healthcare data requirements and technologies.

Responsibilities

Design and implement data architectures using Databricks.
Lead migration initiatives from legacy systems to modern platforms.
Collaborate with teams for effective data solutions.

Skills

Data architecture design

Software engineering principles

Data engineering frameworks

Governance frameworks

CI/CD implementation

Cloud platforms usage

Education

Bachelor's degree in Computer Science

Tools

Databricks

Python

Scala

Apache Spark

Jenkins

Azure DevOps

Job description

Data Architect (Azure and Databricks) - IN

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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

About Rackspace Technology

We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

More on Rackspace Technology

Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.