Specialist Solutions Architect – Data Engineering, Warehousing

🔥 28 minutes ago

🤠 Texas – Remote

infoinfo

💵 $180k - $247.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

Where this job comes from

Posted on Databricks's careers page, not through a job board

First seen by Remote Rocketship 28 minutes ago

Logo of Databricks

Databricks

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• Own end-to-end technical strategy for accounts, from discovery through production deployment and consumption growth • Lead complex architecture discussions and design scalable, production-grade solutions spanning data engineering and real-time analytics • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors • Drive technical wins in competitive scenarios through custom-built solutions demonstrating Databricks differentiation • Develop and declare an emerging technical specialization, becoming a go-to resource for the team • Orchestrate cross-functional resources, including DSAs, SAs, and partners, to deliver comprehensive solutions • Influence product direction through structured feedback on customer requirements and competitive gaps

🎯 Requirements

• 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role • Deep hands-on experience with Apache Spark ecosystem, including Spark Core, Spark SQL, Spark Streaming, message queues such as Kafka, batch ingestion, performance tuning, and troubleshooting complex Spark workloads • Experience building or supporting data-driven use cases, predictive analytics pipelines, or customer analytics platforms • Experience migrating EDW workloads across OLAP/OLTP systems, including advanced query tuning, governance, and MPP debugging • Strong coding proficiency in Python and SQL, including live coding, debugging, and solution-building • Deep expertise in distributed data systems architecture, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms • Proficiency on the Databricks Platform or ability to achieve proficiency rapidly, with a developing technical specialization • Ability to lead architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis • Experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance • Track record of driving platform adoption and consumption growth within accounts • Excellent communication skills for translating complex architectures into business value • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience • Willingness to travel up to 30% as needed • Nice to have: data observability and security experience, including telemetry, log ingestion, anomaly detection, and SIEM tools such as Splunk, Elastic, or Sentinel • Nice to have: Databricks certifications • Nice to have: experience with Snowflake, AWS native services, or Azure Synapse • Nice to have: background in a data/AI company or cloud provider • Nice to have: industry domain expertise

🏖️ Benefits

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks, with specific offerings varying by region

Apply Now

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