Senior Azure Data Architect - Databricks & Lakehouse

Robotics Technologies LLC; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Robotics Technologies LLC in the United States is seeking a senior data engineering professional to bridge IT and business units, delivering scalable data pipelines and governance. The role emphasizes designing solutions, coordinating with stakeholders, and aligning with IT strategy to enable data-driven decisions.

The ideal candidate has 12+ years of data engineering experience, strong Databricks and cloud skills, and a proven ability to lead complex data initiatives across platforms such as

Qualifications

• Bachelor's degree in computer science, information systems, or a related field or an equivalent combination of education and experience.
• 12 years of experience developing, implementing and maintaining enterprise policies, procedures and operating standards including preparing agendas, meeting minutes, and follow-up actions for meetings with management.
• 10+ years of experience in data engineering, including design, application development, testing, and operational stability.
• Advanced proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Lambda, Databricks and Azure data services.
• Proficiency in programming languages such as Python, Java, or Scala for data processing and application development.
• Extensive hands-on experience with Databricks, including architecting and managing large-scale data pipelines, optimizing Spark jobs, implementing security and governance controls, and automating workflows.
• Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, automated DAB deployments and version control.
• Certification on Databricks Data Engineering Associate or Professional.
• Azure Certifications.
• Proficiency in relational databases (Oracle or SQL Server and ER Data Modeling).
• Skilled in writing Oracle SQL queries utilizing DML, DDL, and

Responsibilities

• Serves as an expert regarding the business units supported and has expert understanding of the Information Technology organization's systems and capabilities.
• Analyzes business unit operations to understand strengths and weaknesses and to identify process and function automation opportunities.
• Develops appropriate business models to represent business requirements and meet business needs.
• Obtains and validates information requirements from stakeholders through various analysis techniques.
• Translates high level business requirements into functional specifications for the Information Technology organization.
• Manages requirements, approvals, changes, and traceability.
• Assists with business process redesign and documentation as needed for new technology.
• Ensures technology solutions are in compliance with and uphold organizational standards.
• Develops business models to represent requirements, such as use cases, business process flows, and data flow diagrams.
• Negotiates agreements and commitments.
• Facilitates communication between business units and Information Technology from initial requirements to final implementation.
• Provides input regarding buy versus build decisions.
• Participates in planning sessions with business units to improve business processes.
• Participates in defining and streamlining division level processes, procedures, and templates as needed to support the organization's process maturity goals and to ensure effective and efficient methods in accordance with best practices.
• Provides business reporting and analytical support, particularly pertaining to departmental governance and performance, utilizing various data sources and analytical tools.
• Performs analysis and provides reporting views with improvement recommendations.
• Designs, develops, tests, and maintains various reports using SQL driven application table portlets and Business Objects.
• Conducts systems analysis with a focus on business process models and use cases.
• Performs system administration and maintenance as needed in support of departmental activities.
• Performs audits to ensure compliance with division processes, procedures and standards.
• Analyzes incidents related to the system/application to identify problem areas.
• Works closely with the application business partner's product support team to identify and implement solutions.
• Works on multiple projects evaluating and identifying project complexity, assumptions, constraints, and dependencies.
• Conducts timely surveys to gauge effectiveness of delivery of technology solutions.
• Performs a variety of tasks to improve on the existing operating processes, methodologies and standards.
• Participates in the development of processes, procedures, and protocols for the department to ensure effective and efficient methods of providing support.
• Coordinates the maintenance of all tools used to administer the processes as needed to ensure system currency.
• Builds, maintains, and manages stakeholder relationships.
• Educates the Information Technology organization on the direction of the business.
• Communicates complex technical concepts simply and effectively to nontechnical team members.
• Guides team members through the established operating process and elevate non-conformance as needed.
• Maintains a current knowledge base and understanding of technological trends.
• Uses Information Technology knowledge base to bring solutions to business units supported and enhances the enterprise's competitive edge.
• Assists less experienced team members as needed.

Skills

Data engineering

Databricks

PySpark

Python/Java/Scala

Cloud services (Azure/AWS)

Parquet/Iceberg

SQL/ER data modeling

CI/CD pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Git/Bitbucket

Jenkins

Azure

AWS

Job description

Robotics Technologies LLC in the United States is seeking a senior data engineering professional to bridge IT and business units, delivering scalable data pipelines and governance. The role emphasizes designing solutions, coordinating with stakeholders, and aligning with IT strategy to enable data-driven decisions.

The ideal candidate has 12+ years of data engineering experience, strong Databricks and cloud skills, and a proven ability to lead complex data initiatives across platforms such as