Sr. Databricks Arcitect at Piper Companies
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

27 Oct, 25

Salary

155000.0

Posted On

28 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Rabbitmq, Apache Kafka, Code, Infrastructure, Azure, Microservices, Government Agencies, Kubernetes, Architecture, Communication Skills, Aws

Industry

Information Technology/IT

Description

Zachary Piper Solutions is looking for an Senior Databricks Architect to join a growing team in support of a federal program. This position will be fully remote.

REQUIRED QUALIFICATIONS:

  • Must be able to obtain a Public Trust clearance
  • Bachelors degree and seven (7) years or more of related experience or Masters and five (5) or more years of related experience.
  • Proven experience in cloud engineering and architecture, with a focus on event-driven solutions.
  • In-depth knowledge of public cloud platforms (e.g., AWS, Azure, Google Cloud, Oracle).
  • Proficiency with Databricks and understanding of big data ecosystems.
  • Experience with Infrastructure as Code (IaC) using tools like Terraform, AWS CloudFormation, etc.
  • Strong understanding of deployment pipelines and automated testing frameworks.
  • Demonstrated experience in implementing security practices in cloud architectures.
  • Clear understanding of microservices architecture and containerization technologies (e.g., Docker, Kubernetes).
  • Excellent verbal and written communication skills, with the ability to document and explain complex architectures to non-technical stakeholders.
  • Databricks Certification and any other AI/ML or data engineering certifications (AWS, Azure, GCP).
Responsibilities
  • Design and implement event-driven architecture to support scalable, resilient, and dynamic GenAI applications.
  • Refactor and rehost existing applications onto cloud platforms, optimizing for performance and scalability.
  • Collaborate on the development of Platform Architecture, ensuring seamless integration and efficient operation of cloud services.
  • Develop and optimize Databricks Solution Architectures to handle large-scale data processing and analytics workloads.
  • Engineer robust Bedrock Solution Architectures to support infrastructure provisioning and management at scale.
  • Define and execute Deployment Architectures that allow for automated and reliable deployments of applications and services.
  • Establish and enforce Security Architectures to protect data and maintain compliance with industry and regulatory standards.
  • Create Use Case Solution Architectures, transforming business requirements into technical solutions.
  • Proactively identify and address technical issues and challenges to improve the efficiency and reliability of cloud-based systems.
  • Work with cross-functional teams to facilitate the smooth deployment of cloud services across various operational environments.
  • Document architectural decisions and create best practice guidelines for cloud development and deployment.
  • Stay abreast of emerging cloud technologies and recommend adaptations to keep ahead of industry trends.
  • Utilize Agile and DevSecOps methodologies and practices.
  • Coach and provide direction to junior engineers in the Databricks and data engineering areas.
  • Lead efforts to integrate various data sources, ensuring seamless data flow and transformation. Develop strategies for data ingestion, cleansing, normalization, and integration.
  • Leverage experience with MLFlow and general CI/CD principles for automating model deployment.
  • Collaborate with customers and critical resources in an SME program to come up with solutions that align with long-term roadmaps and strategy.
  • Execute Databricks upgrades, particularly in the federal space.
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