Position Details

Type Full-Time

Experience senior

Exp. Years 6+ years

Education Not specified

Category Data & Analytics

About this role

Big Data Solutions Architect (Resident Solutions Architect) for healthcare & life sciences, leading Databricks-based data engineering, data science, and cloud projects for clients in a professional services setting.

Key Responsibilities

Design and build reference architectures
Scope professional services engagements
Guide strategic customers in big data transformations and migrations
Consult on architecture and design; bootstrap or implement customer projects
Provide escalated support for operational issues

Technical Overview

Stacks include Python/Scala on Apache Spark within cloud ecosystems (AWS/Azure/GCP) and Databricks platform; emphasis on end-to-end data architectures, CI/CD, and MLOps with production deployments.

Ideal Candidate

The ideal candidate is a senior data engineer/solutions architect with 6+ years of experience, proficient in Python or Scala, and hands-on with Apache Spark on cloud platforms (AWS, Azure, GCP). They can design end-to-end data architectures in Databricks, drive production deployments, and lead professional services engagements for healthcare & life sciences clients.

Must-Have Skills

6+ years experience in data engineeringdata platforms & analyticsComfortable writing code in Python or ScalaPythonScalaTwo or more cloud ecosystems with expertise in at least one (AWSAzureGCP)Apache SparkCI/CD for production deploymentsMLOpsEnd-to-end data architecturesDocumentation and white-boarding skillsExperience with technical project delivery - managing scope and timelines

Nice-to-Have Skills

Databricks Certification

Tools & Platforms

DatabricksApache SparkPythonScalaAmazon Web ServicesMicrosoft AzureGoogle Cloud Platform

Required Skills

6+ years experience in data engineeringdata platforms & analyticsPythonScalaApache SparkSparkAmazon Web ServicesAWSMicrosoft AzureAzureGoogle Cloud PlatformGCPCI/CDMLOpsDatabricksData EngineeringData ScienceEnd-to-end data architecturesProduction deploymentsDatabricks PlatformDocumentationWhiteboarding

Hard Skills

PythonScalaApache SparkSparkAmazon Web ServicesAWSMicrosoft AzureAzureGoogle Cloud PlatformGCPCI/CDMLOpsDatabricksData EngineeringData ScienceEnd-to-end data architecturesProduction deploymentsDatabricks Platform

Soft Skills

Customer serviceCommunicationWhiteboardingDocumentationConflict managementTeamworkCollaborationProblem solving

Certifications

Preferred

Databricks Certification

Industry & Role

Industry SaaS

Job Function Deliver Databricks-based big data solutions for healthcare & life sciences clients through data engineering, data science projects, and cloud deployments

Role Subtype Solutions Architect

Tech Domains Amazon Web Services, Microsoft Azure, Google Cloud Platform, Python, SQL / PostgreSQL

Keywords for Your Resume

resident solutions architectdatabricksdata engineerdata platformsanalyticsPythonScalaApache SparkSparkAmazon Web ServicesAWSMicrosoft AzureAzureGoogle Cloud PlatformGCPCI/CDMLOpsend-to-end data architecturesDatabricksproduction deploymentsDatabricks platformprofessional servicescustomer servicewhiteboardingdocumentation6+ years

Deal Breakers

Must have at least 6+ years of relevant experience, Must be able to travel 20% to customer sites, Must be proficient in Python or Scala

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Resident Solutions Architect - Healthcare & Life Sciences

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