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Remote Azure Databricks Jobs in Summerville, SC (NOW HIRING)

Manager, Software Engineering - AI and Data Platform

SC · Remote

$133K - $173K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... .NET, Azure, Databricks, ADO preferred) * 3+ years of experience managing and developing data ... Remote-flexible workforce * Wellness Programs * 401(k) program with employer match * Flexible paid ...

Remote Azure Databricks information

What is a remote Azure Databricks?

Remote Azure Databricks jobs are positions where professionals use Azure Databricks—a cloud-based analytics platform optimized for big data and machine learning—while working from a remote location. These roles typically involve tasks like building data pipelines, analyzing large datasets, developing and deploying machine learning models, and collaborating with teams virtually. Remote Azure Databricks professionals need strong skills in Spark, Python or Scala, and a good understanding of cloud computing. They often work as data engineers, data scientists, or analytics specialists, leveraging the platform’s capabilities to deliver data-driven insights for organizations.

What skills and qualifications are needed to thrive as a remote Azure Databricks professional?

To thrive as a Remote Azure Databricks professional, you need strong expertise in data engineering, cloud computing, and proficiency in programming languages such as Python or Scala, typically supported by a relevant degree or certifications. Familiarity with Azure services, Databricks platform, Spark, and data pipeline orchestration tools is essential, often validated by Microsoft Azure or Databricks certifications. Excellent problem-solving, collaboration, and communication skills help you work effectively in distributed teams and convey complex technical concepts clearly. These skills and qualifications ensure robust data solutions, efficient remote teamwork, and the ability to leverage cloud analytics for business impact.

What are common challenges faced by remote Azure Databricks engineers, and how can they be managed?

Remote Azure Databricks engineers often encounter challenges related to collaboration and data security. Since Databricks projects typically involve large datasets and multiple stakeholders, coordinating work across time zones and ensuring secure data access can be complex. To manage these challenges, it's important to establish clear communication channels, use project management tools, and follow best practices in data governance. Regular team meetings and thorough documentation also help maintain alignment and ensure project success.

What is the difference between Remote Azure Databricks vs Remote Data Engineer?

AspectRemote Azure DatabricksRemote Data Engineer
Required CredentialsAzure certifications, Spark/Databricks knowledgeData engineering certifications, SQL, cloud platform skills
Work EnvironmentCloud-based, collaborative platform for data analyticsData pipelines, database management, cloud environments
Industry UsageData analytics, AI, machine learning projectsData pipeline development, ETL processes

Remote Azure Databricks specialists focus on leveraging the Databricks platform for data analytics and machine learning, often working within cloud environments. Remote Data Engineers build and maintain data pipelines and infrastructure, frequently using cloud tools. While both roles require cloud and data skills, Azure Databricks roles are more centered on analytics and AI, whereas Data Engineers focus on data infrastructure and processing.

What cities near Summerville, SC are hiring for Remote Azure Databricks jobs?

Cities near Summerville, SC with the most Remote Azure Databricks job openings:

Infographic showing various Remote Azure Databricks job openings in Summerville, SC as of August 2026, with employment types broken down into 85% Full Time, 4% Part Time, and 11% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution.

Azure Data & AI Architect - Remote US

eGroup Enabling Technologies

Charleston, SC • Remote

$59.50 - $77.50/hr

Full-time

Re-posted 21 days ago


Job description

eGroup is a remotefirst technology consulting organization and Microsoft partner, focused on delivering thoughtful, reliable solutions while building lasting relationships-with our clients and with one another. We are a ninetime Microsoft Partner of the Year award winner, reflecting our deep technical expertise and commitment to excellence. Our people are at the center of our success, and we believe great work happens when employees feel trusted, supported, and respected. We are committed to integrity, collaboration, accountability, and creating an inclusive workplace where individuals can do meaningful work and continue to grow.

eGroup is hiring a Azure Data & AI Architect to design and personally deliver modern data and AI solutions in the Microsoft ecosystem (Azure AI services, Microsoft Fabric, and Azure data platforms).

This is ahandson consulting role- approximately80% delivery / build work, with the remainder focused on continuous learning and occasional presales support.

You'll work directly with clients to understand their goals, translate ambiguity into a clear technical plan, and deliver solutions that are secure, scalable, and explainable to both technical and nontechnical stakeholders.

  • This role isnotresearchonly, promptonly, or slidewarefocused. You will be expected toship real solutions.
  • This role isclientfacing. Clear, timely communication and followthrough are part of the job.
  • We review applications forspecificity and real project ownership. If your application is generic, overly polished, or doesn't show whatyoubuilt, it will not move forward.

Application requirement: Please answer the three short questions within this posting. Applications without these answers will not be reviewed.

Key Responsibilities

Lead EndtoEnd Solution Delivery

  • Own delivery endtoend:requirements architecture design build test deployment
  • Serve as the technical lead: set engineering standards, unblock delivery, and ensure quality across testing and release

Architect AI Solutions

  • Design and implement AI solutions usingAzure AI services(e.g., Azure OpenAI, Cognitive Services, Azure Machine Learning) and, where appropriate,Copilot / Copilot Studio
  • Emphasize security, governance, and realworld usability over experimentation for its own sake

Develop Modern Data Platforms

  • Build data platforms usingAzure data services(ADF, Databricks, Synapse, ADLS) and/orMicrosoft Fabric
  • Deliver productiongrade pipelines (ETL/ELT), storage and compute patterns, and data models supporting BI and AI workloads

Leverage Automation & Power Platform (Bonus Skill)

  • UsePower Platform(Power Apps, Power Automate, Power BI) when it's the right tool for rapid business value
  • Power Platform experience is a plus, not the primary focus

Collaborate Across Teams

  • Partner with engineers and business stakeholders to translate requirements into buildable designs
  • Coordinate with security and governance teams to ensure solutions meet best practices and client constraints

Client Engagement & Communication

  • Communicate architecture decisions - including tradeoffs - in plain language
  • Act as a trusted advisor: align scope to outcomes, manage expectations, and keep clients informed when things change

Innovation & IP Development

  • Create reusable internal assets (reference architectures, accelerators, playbooks) that improve delivery quality

Continuous Learning

  • Stay current on Azure AI and data platform changes and apply learning pragmatically to client solutions

PreSales Support (As Needed)

  • Support early discovery, solution envisioning, and contribution to technical proposals, estimates, and SOWs

Required Qualifications

Experience

  • 10+ years delivering technology solutions, including5+ years leading data engineering, analytics, or AI work on Azure
  • Clear evidence ofpersonal ownership- you can explain what you built, why you chose it, and what you'd change next time

Azure & Data Expertise

  • Handson experience withAzure AI servicesandAzure data platformsand/orMicrosoft Fabric

Architecture Judgment

  • Ability to design scalable patterns (lakes, warehouses, modeling) and integrate AI responsibly into workflows
  • Practical operational mindset (CI/CD and MLOps experience is a plus)

ProblemSolving & Adaptability

  • Comfortable working in ambiguity, making tradeoffs explicit, and keeping delivery moving without handholding

Communication & Leadership

  • Strong clientfacing communicator who can explain complex decisions clearly and lead technical direction confidently


Education

  • Bachelor's degree in Computer Science, Engineering, or equivalent professional experience


Preferred Qualifications

  • Consulting or professional services background
  • Power Platform and Power BI experience
  • Microsoft Fabric and data governance familiarity
  • Azure DevOps, CI/CD, and infrastructureascode experience
  • Relevant Microsoft certifications
  • Python used in real production systems
  • Experience writing and maintaining code for data processing, automation, or model deployment

If you want to do real client delivery at the intersection of data, AI, and Microsoft, and you enjoy owning outcomes from early discovery through golive, we'd love to meet you.