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Remote Databricks Jobs in New Mexico (NOW HIRING)

$70 - $75/hr

Fully Remote candidates will be considered. Hybrid candidates who can come in person up to twice a ... Databricks account teams). • AWS Certified Solutions Architect Associate or Professional The ...

$96K - $116K/yr

This role is remote and can be based anywhere within the United States. Candidates must be able to ... Operate fluently across Databricks and major cloud platforms (Azure, GCP). * Leverage modern AI ...

Remote Databricks information

What are the key skills and qualifications needed to thrive as a Remote Databricks Engineer, and why are they important?

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What are remote Databricks jobs?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.
What job categories do people searching Remote Databricks jobs in New Mexico look for? The top searched job categories for Remote Databricks jobs in New Mexico are:
What cities in New Mexico are hiring for Remote Databricks jobs? Cities in New Mexico with the most Remote Databricks job openings:
Infographic showing various Remote Databricks job openings in New Mexico as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Databricks Solutions Architect

Databricks Solutions Architect

Strategic Management Solutions LLC

Los Alamos, NM • On-site, Remote

$57.25 - $75.50/hr

Full-time

Posted just now


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 Databricks Solutions Architect to assist our client, Los Alamos National Laboratory (LANL). This position will be mostly remote, with occasional trips onsite in Los Alamos, NM as needed.
Responsibilities
Los Alamos National Laboratory has selected SAP for their next-generation Cloud ERP solution. In parallel, they will require a future state data strategy to take advantage of new tools and technology to help modernize their current on-prem operational data store. This work plays a critical role in supporting key institutional initiatives such as enabling real-time analytics, AI/ML capabilities, and enhanced operational efficiency.
This role will be critical in transformation of their legacy data environment into a modern, cloud-native architecture. In concert with institutional knowledge experts and ERP implementation planner and integrators, you will define the data strategy, standards, and blueprints for migrating and integrating high-volume operational data into a new platform, ensuring data integrity, security, and accessibility across the enterprise.
Job Requirements
  • 5+ years of progressive experience in data architecture, data modernization, and cloud-based data solutions.
  • Advise on the Databricks reference architecture covering Lakeflow, Delta Lake, Unity Catalog Mosaic AI, Databricks SQL, and Databricks Apps
  • Provide hands-on guidance on Databricks full-stack solution design
  • Advise on design of both data movement (e.g. batch, real-time streaming) and zero-copy patterns
  • Guide platform migrations from legacy SQL and document stores onto Databricks and related cloud data platforms
  • Recommend security, governance, and compliance-as-code: Unity Catalog ABAC, governed tags, row filters/column masks, key management, networking security and compliance security profiles.
  • Advise on design of segregated/tiered data pool architectures aligned to the organization's data classification policy and applicable regulatory requirements, including cross-tier data movement
  • Recommend FinOps and performance standards, workload and cost management
  • Mentor data engineers, analysts, and AI/ML teams participate in architecture reviews and contribute to standards
  • Work with information & cyber security, and other teams as needed for compliance to policies and standards
  • Evaluate emerging Databricks capabilities and recommend adoption strategies, including endpoint integrations with third parties as they evolve
  • Excellent verbal and written communication skills.
  • Candidate must have the ability to work with many team members across multiple disciplines.
  • 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 Qualifications
  • 7+ years designing, building, and operating Databricks workloads with medallion layer architecture
  • Hands-on experience with Delta Lake, Unity Catalog, Spark Structured Streaming, Lakeflow (or DLT/Live Tables), Databricks SQL, MLflow, and Mosaic AI Model Serving
  • Strong experience in cloud architecture supporting the platform (VPC/VNet, Security, S3/ADLS, KMS, etc.)
  • Proven experience migrating enterprise data workloads from legacy/on prem data warehouse/lake to Databricks
  • Production streaming and CDC experience
  • Depth in security and governance: Unity Catalog policies (ABAC), classification, encryption, access auditing, compliance-to-control translation
  • Hands-on experience designing multi-tier Databricks architectures driven by data classification requirements
  • Strong Python and SQL, Spark, Notebooks
  • Excellent verbal and written communication skills
  • Active (or recent) Q clearance is a plus but not required.

Nice to Have:
  • Active Databricks certifications
  • GenAI and agent systems on Databricks experience
  • Delta Sharing and Databricks Clean Rooms for controlled, governed data exchange across organizational/cross-tier/system boundaries
  • Familiarity with Oracle EBS and SAP enterprise data
  • Experience with SAP BDC/DataSphere and Databricks integration to SAP BDC, with zero-copy patterns
  • Lakeflow Designer, Databricks Apps, Genie, Databricks One
  • CI/CD, Infrastructure-as-Code (e.g. Terraform) for data platforms
  • Experience in designing, building, supporting BI reporting layers
  • Data Quality and Data Governance experience
  • Prior experience in regulated industries (e.g. utilities, life sciences, government services) and exposure to related frameworks (e.g. FERC/NERC, HIPAA, GxP, GDPR, FedRAMP, ITAR, etc.)

Education Requirements
  • Bachelor's degree, preferably in computer science, engineering, information systems, or related discipline, along with 12 years of experience. Equivalent combination of education and experience will be considered.
  • Certifications are a plus.