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Azure Data Platform Engineer Jobs in New Mexico (NOW HIRING)

This function manages analytic data platforms, the access, design and implementation of reporting ... Experience using Git and CI/CD tools (e.g., GitHub Actions, GitLab, Azure DevOps, Jenkins)

Senior Site Reliability Engineer

Albuquerque, NM · On-site

$52 - $69.25/hr

Partner with software developers, platform engineers, and IT staff to improve system design ... Experience with cloud platforms such as AWS and Azure. * Experience with infrastructure automation ...

Hybrid Multi-Cloud Engineer SME

Albuquerque, NM · Hybrid

$54 - $72.25/hr

Working knowledge of Purview or similar data governance platforms. * Experience implementing ... Experience with PowerShell, Azure CLI, Python, or comparable scripting languages. * Excellent ...

$110K - $150K/yr

... platforms (AWS, Azure, GCP), and modern development tools including containerization (Docker, Kubernetes) and streaming data platforms (Kafka, Spark). · Strong programming foundation in Python and ...

... platforms (AWS, Azure, GCP), and modern development tools including containerization (Docker, Kubernetes) and streaming data platforms (Kafka, Spark). · Strong programming foundation in Python and ...

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

The role involves collaborating with engineers and business stakeholders to create scalable data ... data platforms such as AWS • Experience using Python for data processing, automation, or ...

Working knowledge of Purview or similar data governance platforms. * Experience implementing ... Experience with PowerShell, Azure CLI, Python, or comparable scripting languages. * Excellent ...

Showing results 41-60

Azure Data Platform Engineer information

What is an Azure Data Platform Engineer?

An Azure Data Platform Engineer is a technology professional who specializes in designing, building, and managing data solutions on Microsoft Azure. They work with services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and other cloud-based data technologies to ensure efficient data storage, processing, integration, and analytics. Their role often involves implementing data pipelines, managing data security, optimizing performance, and supporting data-driven decision-making for organizations. Azure Data Platform Engineers typically collaborate with data scientists, analysts, and software developers to deliver robust and scalable data solutions.

What are the key skills and qualifications needed to thrive as an Azure Data Platform Engineer?

To thrive as an Azure Data Platform Engineer, you need expertise in data modeling, SQL, cloud architecture, and a strong understanding of Microsoft Azure services, typically supported by a degree in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Databricks, and certifications like Microsoft Certified: Azure Data Engineer Associate are valuable. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills ensure the efficient design, deployment, and management of robust data solutions that support business intelligence and analytics needs.

What are some common challenges Azure Data Platform Engineers face when integrating data from multiple sources?

Azure Data Platform Engineers often encounter challenges when consolidating data from diverse sources, such as differing data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically involves designing robust data pipelines using Azure Data Factory or Synapse, implementing effective data transformation and cleansing routines, and ensuring secure, compliant data movement. Collaborating closely with data architects and business analysts is essential to align technical solutions with organizational data governance and integration requirements.

What is the difference between Azure Data Platform Engineer vs Data Engineer?

AspectAzure Data Platform EngineerData Engineer
CertificationsAzure certifications (e.g., DP-203)General data engineering certifications (e.g., Google Cloud, AWS)
Work EnvironmentPrimarily cloud-based, Azure ecosystemOn-premises, cloud, or hybrid environments
Industry UsageOrganizations using Microsoft AzureVarious industries, broader data infrastructure roles
FocusDesigning, implementing, and managing Azure data solutionsBuilding and maintaining data pipelines and architectures

The Azure Data Platform Engineer specializes in Azure cloud data solutions, while the Data Engineer has a broader scope across different platforms and environments. Both roles require strong data management skills, but the Azure Data Platform Engineer focuses specifically on Azure services and certifications.

What are popular job titles related to Azure Data Platform Engineer jobs in New Mexico?

For Azure Data Platform Engineer jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Azure Data Platform Engineer jobs in New Mexico look for?

The top searched job categories for Azure Data Platform Engineer jobs in New Mexico are:

What cities in New Mexico are hiring for Azure Data Platform Engineer jobs?

Cities in New Mexico with the most Azure Data Platform Engineer job openings:

$50.75 - $67.75/hr

Full-time

Re-posted 4 days ago


Job description

Strategic Management Solutions, LLC (SMSI) provides expert management consulting, program and project management, and technical consulting services to government and private sector clients. SMSI has grown and evolved by building an outstanding reputation for client-focused performance and for delivering results that enable clients to meet commitments and milestones.
SMSI is an Equal Employment Opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job Summary:
SMSI, LLC is seeking a Cloud Engineer / Architect with experience building and securing platforms on AWS, Azure, and GCP to support our client onsite at Los Alamos National Laboratory (LANL) in Los Alamos, NM. This role is hybrid and can be based anywhere within 2-3 hours of Los Alamos, NM.
Responsibilities:
The Cloud Engineer will work closely with IT teams, DevOps, and Cloud Architects to support infrastructure with code and building guardrails for multi cloud platforms. The ideal candidate will have experience with multiple cloud platforms: Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS), supporting mission, scientific, and enterprise workloads in hybrid and multi-cloud environments.
This division consists of more than 350 talented Solution Architects, Computer Systems Professionals, and Computer System Technician employees who provide the varied Laboratory organizations with Information Technology experts who design, build, and support their mission-driven technical needs, on the unclassified and classified networks through several different service touchpoints. In addition, optimize the use of information technology, ensure seamless delivery and operation of IT services by monitoring system performance, applying configuration management practices, creating processes and standards for selection and implementation.
Requirements:
  • 8-10 years of information technology experience is required.
  • Experience deploying and managing cloud environments in AWS and GCP (Azure exposure a plus), including provisioning computer, networking, storage, IAM, and managed services.
  • Build, maintain, and troubleshoot infrastructure-as-code (IaC) using Terraform/Terragrunt to provision and update cloud resources; manage state, modules, and environment configurations.
  • Strong working knowledge of cloud platform engineering, including IAM roles/policies, load balancing, autoscaling, and secure service configurations.
  • Experience with code / building guardrails for multi cloud platforms.
  • Experience with multi cloud platforms, including Google Cloud Platform (GCP), AWS, and Azure.
  • Experience with cloud buildouts
  • Observation and Monitoring experience
  • Optimization experience
  • Terraform experience
  • Kubernetes/ containerization
  • Building Landing Zones
  • Cloud networking
  • Cloud specific AI offerings
  • DevSecOps
  • Candidates must have the ability to work with many team members across multiple disciplines.
  • The position requires background and pre-employment drug screening for drug-free workplace.
  • This person must be able to work onsite at LANL during regular business hours 4-5 days per week.
  • The candidate must be US Citizen.
  • The candidate must be able to obtain and maintain a DOE Q clearance.
  • The candidate must have an active Real ID diver's license for badging and onboarding.

Preferred Skills:
  • Strong experience in government (DOE or DOD) in GCC high environments is preferred.
  • Active or recently inactive Q clearance is preferred but not required.

Educational Requirements:
  • Bachelor's degree, preferably in computer science, engineering, information systems, or related discipline, along with 8-10 years of experience. Equivalent combination of education and experience will be considered.
  • Cloud certifications are a plus.

Physical Requirements:
  • Must be able to work onsite at LANL up to 2-3 days per week.