Sr. Specialist Solutions Architect - Data Engineering & Warehousing
Senior · Удалённо · США · Английский B2
Навыки
AWS
Azure
BI-инструменты
Big Data
Решения на данных
Data Lake
Отладка и поиск ошибок
Ещё 17
Google Cloud
Java
Kafka
Лидерство
Нагрузочное тестирование
Мониторинг и observability
OLAP
Оптимизация производительности
Python
Redshift
Scala
SIEM
Snowflake
Spark
Splunk / ArcSight / QRadar
SQL
Iceberg / Delta Lake
О компании и продукте
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
Задачи
Guide Strategic Implementations : Provide technical leadership to help enterprise customers successfully build, scale, and optimize big data and large-scale data warehousing workloads
Prove Platform Value : Architect production-ready pipelines and demonstrate the power of the Databricks Data Intelligence Platform through end-to-end performance testing, load testing, and optimization
Support Technical Sales : Partner with Solutions Architects on complex pre-sales engagements, including custom proofs of concept (POCs), workload sizing estimations, and custom architecture designs
Community & Adoption : Enable adoption by leading workshops, hackathons, and conference presentations, while actively contributing to the broader Databricks community
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Specialist Solutions Architect (SSA) – Data Engineering & Warehousing, you will guide strategic enterprise customers through cloud data engineering transformations across a wide variety of mission-critical use cases
You will help organizations navigate technical evaluations, optimize business intelligence and analytics workloads, and align their technical roadmaps with the Databricks Data Intelligence Platform
Reporting to the Specialist Field Engineering Manager, you will serve as a deep domain expert while continuing to strengthen your technical leadership through mentorship, continuous learning, and specialized training programs
This position can be remote
Требования
8+ years of experience in a technical role with deep expertise across
Data & Software Engineering: Hands-on experience with streaming technologies (e.g., Spark Streaming, Kafka), batch ingestion, performance tuning, and troubleshooting complex Spark workloads
Data Applications Engineering: Experience building or supporting data-driven use cases, predictive analytics pipelines, or customer analytics platforms
Data Warehousing & Migration: Experience migrating EDW workloads (e.g., legacy SQL, Redshift, Snowflake, Synapse, EMR) across OLAP/OLTP systems
advanced query tuning, governance, and MPP debugging
Data Observability & Security: Telemetry, high-velocity log ingestion, anomaly detection, and familiarity with SIEM tools (e.g., Splunk, Elastic, Sentinel)
5+ years of experience in a customer-facing technical role (Pre-Sales, Post-Sales, or Consulting)
Deep understanding of modern lakehouse architectures (Delta Lake, data modeling, BI integration) across major cloud platforms (AWS, Azure, or GCP)
Production-level programming experience in SQL and at least one language among Python, Scala, or Java
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
[Nice to ha ve] Databricks certifications
Ability to hit role-specific training and technical delivery milestones within the first 6 months
Willingness to travel up to 30% as needed
In this customer-facing role, you will collaborate with and support Solutions Architects by leveraging your hands-on production experience with large-scale data engineering and lakehouse architecture
Deep Domain Expertise : Build expertise across specialized domains such as data lake architecture, high-velocity streaming, automated ingestion workflows, and data observability
Условия
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
Паспорт вакансии
История публикации
Появилась в Вакандии30 днейв источнике с 27.06.2026
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 25 дней назад
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Зарплата219 100 — 301 300 USD в годвычитано из текста вакансии
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Найдено публикаций
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Посмотреть публикации и даты
greenhouseОсновная публикация · 2026-06-27
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Работодатель
Databricks
50 активных вакансий · вилка работодателя указана в 21%