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Company

Databricks · 10 hours ago

Specialist Solutions Architect - Data Engineering

United States

Full-time

Remote

Senior Level

$140K/yr - $247K/yr

5+ years exp

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AnalyticsArtificial Intelligence (AI)

Growth Opportunities

H1B Sponsor Likely

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Responsibilities

Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment

Architect production level data pipelines, including end-to-end pipeline load performance testing and optimization

Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows

Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures

Provide tutorials and training to improve community adoption (including hackathons and conference presentations)

Contribute to the Databricks Community

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Apache SparkBig Data TechnologiesData EngineeringCloud Data Lake TechnologiesSQLPythonScalaJavaKafkaHadoopETLData IngestionStreaming TechnologiesPerformance TuningDebuggingRisk ModelingFraud DetectionCustomer Lifetime ValueData MigrationCDCStreaming IngestionTechnical TrainingCustomer-facing Experience

Required

5+ 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

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

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience

Production programming experience in SQL and Python, Scala, or Java

2 years professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures

2 years customer-facing experience in a pre-sales or post-sales role

Can meet expectations for technical training and role-specific outcomes within 6 months of hire

Can travel up to 30% when needed

Company

Databricks

Glassdoor

4.4

Databricks is an AI cloud data platform that interacts with corporate information stored in the public cloud.

Founded in 2013

San Francisco, California, USA

5,001-10,000 employees

https://www.databricks.com/

H1B Sponsorship

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Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (177)

2022 (238)

2021 (193)

2020 (79)