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Databricks Architect Jobs in Winder, GA (NOW HIRING)

innovitusa

Data Architect

Atlanta, GA

$61.25 - $78.75/hr

Databricks * Snowflake * Microsoft Fabric * Power BI * Enterprise Information Architecture * AI/ML data platforms * Data Mesh and Data Lakehouse concepts * Government or large enterprise experience ...

Tata Consultancy Service Limited

Data Architect

Atlanta, GA · On-site

$140K - $180K/yr

Strong experience in Databricks (Delta Lake, Unity Catalog) * Strong experience in Data modeling (Datawarehouse + Lakehouse) * Experience in Integration architecture & governance frameworks Roles ...

CYNET SYSTEMS

Solution Architect

Alpharetta, GA · On-site

$70/hr

Strong hands-on experience with Databricks, including Delta Lake, Workflows, notebook orchestration ... Define and implement end-to-end data architecture on Azure, Snowflake, and Databricks. * Design ...

Programmers.io

lead or architect

Atlanta, GA · On-site

$61 - $79.50/hr

Key Responsibilities Architect Design Design and implement end-to-end modern data architecture on ... Databricks Proficiency Proven expert-level ability to design and build solutions using Databricks ...

Alkaeus

Data Solution Architect

Alpharetta, GA · On-site

Hands-on experience with Snowflake , Databricks , or similar cloud data platforms. * Good ... Solution Architecture Frameworks BFSI domain experience is highly preferred.

Databricks

Alliance RVP, McKinsey

Atlanta, GA · On-site

$204K - $280K/yr

You will expand the mindshare for Databricks within the McKinsey partner organization, primarily by ... solution architects, enablement leaders, cloud specialists, field marketing, and operations

HRC Global Services

Data Architect - Georgia

Atlanta, GA · On-site

$150K - $170K/yr

Databricks * Snowflake * Amazon Redshift Leverage Apache Spark and big data frameworks for ... architecture and data modeling Hands-on experience with Databricks, Snowflake, or Redshift ...

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All JobsDatabricks Architect JobsDatabricks Architect Jobs in Winder, GA

Databricks Architect information

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.

What are the key skills and qualifications needed to thrive as a Databricks Architect?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What cities near Winder, GA are hiring for Databricks Architect jobs?

Cities near Winder, GA with the most Databricks Architect job openings:

Databricks Architect jobs near you

Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences

Databricks

Atlanta, GA

$100K - $138K/yr

Full-time

Re-posted 15 days ago

Job description

CSQ127R310

Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.

As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. 

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.

The impact you will have:

  • Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
  • Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
  • Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
  • Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
  • Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
  • Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering
  • Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps, ML/AI models and AI APIs
  • Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
  • Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
  • Documentation and white-boarding skills.
  • Experience working with enterprise clients and managing conflicts across a broad stakeholder range
  • Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel to customers 20% of the time
  • Databricks Certification

Apply