Sr. Specialist Solutions Architect – Data Engineering & Platform Architecture

FEQ325R88

While candidates in the listed location(s) are encouraged for this role, candidates in other EST locations will be considered.

As a Sr. Specialist Solutions Architect (SSA) - Data Engineering & Platform Architecture you will guide customers in the administration and security of their Databricks deployments for a variety of our customers. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with Apache Spark™, and expertise in other data technologies and in public cloud - AWS, Azure, and GCP.  SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be streaming, performance tuning, industry expertise, as well as cloud deployments, security, networking, automaton, operations research, and more.

The impact you will have:

• Provide technical leadership to guide strategic customers to the successful administration of Databricks, ranging from design to deployment
• Architect production level data pipelines, including end-to-end pipeline load performance testing and optimization, as well as production level deployments and meeting necessary security and networking requirements
• Become a technical expert in an area such as data lake technology, big data streaming, big data ingestion and workflows, as well as cloud platforms, automation, security, networking, or identity management
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
• Implement and optimize CI/CD pipelines to ensure smooth and automated deployment processes
• Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
• Contribute to the Databricks Community through active participation and knowledge sharing.

What we look for:

• 7+ years experience in a technical role with expertise in at least one of the following:
  • Software Engineering/Data Engineering: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions
  • Data Applications Engineering: Build use cases that use data - such as risk modeling, fraud detection, customer life-time value
  • Extensive experience building big data pipelines
  • Experience maintaining and extending production data systems to evolve with complex needs
  • Cloud Platforms & Architecture: Cloud Native Architecture in CSPs such as AWS, Azure, and GCP, Serverless Architecture.
  • Security: Platform security, Network security, Data Security, Gen AI & Model Security, Encryption, Vulnerability Management, Compliance.
  • Networking: Architecture design, implementation, and performance
  • Identify management: Provisioning, SCIM, OAuth, SAML, Federation
  • Platform Administration: High availability and disaster recovery, group management, observability, logging, monitoring, audit, and cost management
  • Infrastructure Automation and InfraOps with IaC tools like Terraform
• Maintain and extend Databricks environment to evolve with complex needs.
• Deep Specialty Expertise in at least one of the following areas:
  • Experience scaling big data workloads (such as ETL) that are performant and cost-effective
  • Experience migrating Hadoop workloads to the public cloud - AWS, Azure, or GCP
  • Experience with large scale data ingestion pipelines and data migrations - including CDC and streaming ingestion pipelines
  • Expert with cloud data lake technologies - such as Delta and Delta Live
  • Security - understanding how to security data platforms and manage identities
  • Complex deployments
  • Public Cloud experience - experience designing data platforms on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
• Hands-on experience with Python, Java, or Scala and proficiency in SQL, and Terraform and Go experience is desirable.
• Familiarity with operations research and optimizations to enhance cloud infrastructure and deployment processes, with contributions to business intelligence, data warehousing, and/or ge