Specialist Solutions Architect – Data Engineering, Warehousing

This is a fully remote position, open to applicants in Texas.

📋 Description

• Take ownership of the complete technical strategy for accounts, from initial discovery to production deployment and growth in consumption.

• Facilitate intricate architecture discussions and design scalable, production-quality solutions that encompass data engineering and real-time analytics.

• Act as a trusted technical advisor to customer architects, engineering leads, and Directors.

• Achieve technical victories in competitive situations through customized solutions that highlight Databricks' unique offerings.

• Establish and announce an emerging technical specialization, positioning yourself as a key resource for the team.

• Coordinate cross-functional resources, including DSAs, SAs, and partners, to provide all-encompassing solutions.

• Shape product direction by offering structured feedback on customer needs and identifying competitive gaps.

⛳️ Requirements

• Over 6 years of experience in solutions architecture, technical pre-sales, or a senior hands-on technical position.

• Extensive hands-on knowledge of the Apache Spark ecosystem, covering Spark Core, Spark SQL, Spark Streaming, message queues like Kafka, batch ingestion, performance optimization, and troubleshooting complex Spark workloads.

• Experience in building or supporting data-driven use cases, predictive analytics pipelines, or customer analytics platforms.

• Proficiency in migrating EDW workloads across OLAP/OLTP systems, including advanced query optimization, governance, and MPP debugging.

• Strong coding skills in Python and SQL, encompassing live coding, debugging, and solution development.

• In-depth understanding of distributed data systems architecture, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.

• Familiarity with the Databricks Platform or the ability to rapidly gain proficiency, along with developing technical specialization.

• Capability to lead architecture discussions with senior technical stakeholders, which includes whiteboarding, design reviews, and trade-off analysis.

• Experience with production deployments on AWS, Azure, or GCP, covering infrastructure, security, and governance aspects.

• Proven track record of promoting platform adoption and increasing consumption within accounts.

• Exceptional communication skills for conveying complex architectures into business value.

• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative field, or equivalent experience.

• Willingness to travel up to 30% as needed.

• Nice to have: experience in data observability and security, including telemetry, log ingestion, anomaly detection, and SIEM tools like 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 an annual performance bonus.

• Equity options.

• Comprehensive benefits and perks, with specific offerings varying by region.