AWS Databricks Architect

Role: AWS Databricks Architect

Location: Plano TX (100% onsite role from Day
1)

• Leading the architecture and implementation of Databricks-based ETL frameworks using Apache NiFi for large-scale enterprise systems.
• Designing and developing high-throughput data pipelines using Databricks and streaming technologies.
• Implementing and enforcing architectural standards and frameworks to ensure a flexible and scalable data environment.
• Collaborating with cross-functional teams to gather requirements, analyze data, and design effective solutions.
• Hands‑on development of Python and Java‑based scripts and applications to support data processing and transformation.
• Playing a key role in Dev Ops activities, including deployment of Spark jobs and infrastructure setup.
• Providing mentorship and technical guidance to junior team members.
• Staying updated with the latest industry trends and technologies in data engineering and analytics.

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Overall experience of 8 - 12 years. 5+ years of hands‑on IT experience with a strong focus on ETL and Python technologies.
• Proven expertise in designing and implementing data solutions using Databricks, AWS.
• Extensive experience with Apache NiFi and streaming development.
• Architectural understanding and experience in Databricks running on AWS deployment.
• Solid understanding of Python and Java programming for data manipulation and transformation.
• Proven ability to troubleshoot and optimize Databricks queries for analytics and business intelligence use cases.
• Basic knowledge of Dev Ops practices for managing Databricks job deployments.
• Databricks Certified Certification in Advanced Data Engineering is a plus.
• Strong problem‑solving skills and the ability to work effectively in a collaborative team environment.
• Excellent communication and interpersonal skills.

Please share your updated resume to