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Specialist Solutions Architect - Data Engineering & Observability

1 month, 3 weeks ago
United States
Full-time
Senior
Data Engineer
DevOps and Infrastructure
Apache Spark AWS Azure Elasticsearch GCP Hadoop Java Kafka Python Scala Sentinel SIEM Splunk SQL
Apply Now
Databricks

Databricks

Databricks is the pioneering data intelligence platform, empowering organizations worldwide to solve complex data challenges with AI-driven analytics solutions.

IT Services
1K-5K
Founded 2013
$4450M raised
View All Jobs 220

Description

  • Provide technical leadership to help strategic customers successfully implement big data and large-scale data warehousing projects.
  • Architect and optimize production data workloads, including end-to-end pipeline load performance testing and tuning.
  • Demonstrate the value of the Databricks Data Intelligence Platform for customer use cases.
  • Develop expertise in a specialty area such as data lake technology, big data streaming, or data ingestion and workflows.
  • Support Solutions Architects on advanced technical sales activities, including custom proof-of-concept content, workload sizing, and custom architectures.
  • Provide tutorials and training to drive community adoption, including hackathons and conference presentations.
  • Contribute to the Databricks Community.
  • Collaborate with Solutions Architects and internal teams to align customer technical roadmaps with the platform.

Requirements

  • 5+ years of experience in a technical role with deep expertise across data engineering and observability.
  • Hands-on experience with data ingestion, streaming technologies such as Spark Streaming or Kafka, performance tuning, troubleshooting, and Spark debugging.
  • Experience building data-driven applications such as risk modeling, fraud detection, or customer lifetime value (LTV) use cases.
  • Experience with data observability tools such as Splunk, Elastic, or Sentinel, including telemetry, high-velocity log ingestion, and anomaly detection.
  • Proven track record of maintaining, scaling, and extending production data systems to meet complex business needs.
  • Experience designing and scaling cost-efficient, high-performance cloud data workloads for ETL/ELT and analytics.
  • Experience building and migrating large-scale batch, CDC, and streaming pipelines.
  • Experience migrating on-premises or Hadoop-based systems to modern cloud platforms such as AWS, Azure, or GCP.
  • Experience managing modern lakehouse and warehouse systems, including Delta Lake, data modeling, governance, and BI integration.
  • Production programming experience in SQL and at least one of Python, Scala, or Java.
  • Strong familiarity with AWS, Azure, or GCP is highly desirable.
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
  • Preferred: prior customer-facing experience in a pre-sales or post-sales technical role.
  • Ability to meet technical training and role milestone expectations within 6 months of hire.
  • Willingness to travel up to 30% as needed.

Benefits

  • Local pay range of $180,000 to $247,500 USD.
  • Eligibility for an annual performance bonus.
  • Eligibility for equity.
  • Comprehensive benefits and perks offered by Databricks, with region-specific details available.
  • Commitment to fair and equitable compensation practices.

Interested in this position?

Apply directly on the company website

Apply Now

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