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IMH

Data Architect – Consultant

IMH

. Lead the design, implementation, and management of complex data infrastructures across multiple projects .

Posted 9/18/2026full-timeRemote • Utah • United StatesSeniorLead💰 $61 - $96 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expert proficiency in SQL and extensive experience with RDBMS such as Oracle and PostgreSQL, alongside mastery of Python and PySpark for developing scalable data solutions. Proven ability to lead complex data projects, mentor team members, and implement data governance frameworks in a healthcare environment.

Highest-signal resume keywords
Expert Proficiency With SQLMastery Of Python And PySparkExtensive Experience With AWS, Azure, Or Google Cloud PlatformIn-Depth Knowledge Of ETL/ELT Processes And ToolsExperience In A Healthcare Environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLPythonPySparkETL/ELT ProcessesSSISInformaticaAzure Data FactoryDatabricksData Governance FrameworksAPIs
Soft Skills
Outstanding Communication SkillsMentorship
Tools & Technologies
AWSAzureGoogle Cloud PlatformKafkaAWS KinesisAzure Event HubsTableauPower BILookerCI/CD Pipelines
Certifications & Qualifications
Master’s Degree In Analytics-Related FieldBachelor’s Degree In Analytics-Related Field
Industry Keywords
Data ArchitectureData Integration StrategiesHealthcare EnvironmentGDPRHIPAA

Tech Stack

Tools & technologies
ApacheAWSAzureCloudETLGoogle Cloud PlatformInformaticaKafkaOraclePostgresPySparkPythonRDBMSSparkSQLSSISTableau

About the role

Key responsibilities & impact
  • Lead the design, implementation, and management of complex data infrastructures across multiple projects
  • Create scalable, efficient, and secure data solutions using relational databases, cloud technologies, and big data tools
  • Manage multiple complex projects simultaneously
  • Collaborate with senior and staff data architects and data engineers to ensure successful delivery
  • Provide leadership and direction on enterprise-level data integration strategies
  • Mentor staff and senior team members in developing high-quality data architectures and pipelines across cloud and on-premise systems

Requirements

What you’ll need
  • Expert proficiency with SQL and extensive experience with traditional RDBMS such as Oracle, SQL Server, or PostgreSQL
  • Extensive experience with AWS, Azure, or Google Cloud Platform for data architecture and storage solutions
  • Mastery of Python and PySpark
  • In-depth knowledge of ETL/ELT processes and tools, including SSIS, Informatica, Azure Data Factory, and Databricks
  • Outstanding communication skills for stakeholder and team collaboration
  • Expert understanding of Product Management, Project Management, or Program Management philosophies and methodologies
  • Demonstrated ability to stay updated on industry trends and advancements
  • Proven experience providing mentorship and guidance to junior and senior architects
  • Preferred: Master’s degree in an analytics-related field and 4 years of experience, or 8 years of professional analytics experience, or bachelor’s degree in an analytics-related field with 6 years of experience
  • Experience with Databricks, Apache Spark, and Delta Lake
  • Proficiency with Kafka, AWS Kinesis, or Azure Event Hubs
  • Experience working with APIs to retrieve and integrate external data
  • Experience developing APIs to provide data as a product
  • Familiarity with CI/CD pipelines for data engineering workflows
  • Knowledge of data governance frameworks and compliance standards such as GDPR and HIPAA
  • Experience in a healthcare environment
  • Familiarity with Tableau, Power BI, or Looker
  • Ability to work Monday–Friday, 8AM–5PM MST, with one on-call shift per quarter
  • Ability to remain sitting or standing for long periods while working on a computer, telephone, or other equipment

Benefits

Comp & perks
  • Generous benefits package covering programs for wellness, healthy living, security, connection, and engagement
  • Company equipment and remote-work support referenced in remote work expectations
  • Flexible work options where approved and stated in the job posting