Databricks1 день назад
Specialist Solutions Architect - Data Engineering & Warehousing (Financial Services)
15 000–20 625 ₽в месяц · до вычета
РЫНОК
15 000 ₽медиана по профессии
Solution Architect · 11 вакансий с указанной зарплатой
7 556половина предложений: 15 000–18 258500 000
В рынке · выше 64% предложений
United States
Обязанности
- 01Guide strategic enterprise customers through cloud data engineering transformations for mission-critical use cases.
- 02Collaborate with and support Solutions Architects using hands-on production experience in large-scale data engineering and lakehouse architecture.
- 03Help organizations navigate technical evaluations, optimize business intelligence and analytics workloads, and align technical roadmaps with the Databricks Data Intelligence Platform.
- 04Provide technical leadership to help enterprise customers build, scale, and optimize big data and large-scale data warehousing workloads.
- 05Architect production-ready pipelines and demonstrate platform value through end-to-end performance testing, load testing, and optimization.
- 06Build expertise in data lake architecture, high-velocity streaming, automated ingestion workflows, and data observability.
- 07Partner with Solutions Architects on complex pre-sales engagements, including custom proofs of concept, workload sizing estimations, and custom architecture designs.
- 08Enable adoption by leading workshops, hackathons, and conference presentations, and actively contribute to the broader Databricks community.
- 09Serve as a deep domain expert while strengthening technical leadership through mentorship, continuous learning, and specialized training programs.
Требования
- 015+ years of experience in a technical role with deep expertise across data and software engineering.
- 02Hands-on experience with streaming technologies (e.g., Spark Streaming, Kafka), batch ingestion, performance tuning, and troubleshooting complex Spark workloads.
- 03Experience building or supporting data-driven use cases, predictive analytics pipelines, or customer analytics platforms.
- 04Experience migrating EDW workloads (e.g., legacy SQL, Redshift, Snowflake, Synapse, EMR) across OLAP/OLTP systems; advanced query tuning, governance, and MPP debugging.
- 05Telemetry, high-velocity log ingestion, anomaly detection, and familiarity with SIEM tools (e.g., Splunk, Elastic, Sentinel).
- 06Deep understanding of modern lakehouse architectures (Delta Lake, data modeling, BI integration) across major cloud platforms (AWS, Azure, or GCP).
- 07Production-level programming experience in SQL and at least one language among Python, Scala, or Java.
- 08Prior experience in a pre-sales or post-sales technical consulting role (preferred).
- 09Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
- 10Ability to hit role-specific training and technical delivery milestones within the first 6 months.
- 11Willingness to travel up to 30% as needed.
Условия
- 01Position can be remote.
- 02Willingness to travel up to 30% as needed.
- 03Eligibility for annual performance bonus and equity.
- 04Comprehensive benefits package.