Delivery Solutions Architect (High-Tech & Manufacturing)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Delivery Solutions Architect (High-Tech & Manufacturing): Driving post-sales technical strategy and platform adoption for strategic customers with an accent on complex data and AI workloads. Focus on orchestrating internal technical resources, managing executive relationships, and ensuring successful go-live and consumption of the Databricks Data Intelligence Platform.
Location: Must be based in Minnesota (Hybrid role with up to 30% travel).
Salary: $180,000 β $247,500 USD
Company
Databricks is the data and AI company, creators of the Lakehouse architecture, Apache Spark, Delta Lake, and MLflow, serving over 10,000 organizations worldwide.
What you will do
- Lead the post-technical win strategy and execution plan for strategic customer use cases.
- Act as the primary technical leader for production go-live and platform adoption.
- Coordinate with internal teams including Professional Services, Support, and Engineering to resolve complex technical issues.
- Develop and execute roadmaps for enablement, user growth, and product adoption.
- Provide KPI reporting on customer health, investment status, and risk management to leadership.
- Navigate complex organizational structures to align Databricks solutions with customer business outcomes.
Requirements
- 5+ years of experience in technical project or program delivery within Data and AI.
- Proficiency in Python, SQL, or Scala.
- Experience in customer-facing roles such as pre-sales, technical architecture, or customer success.
- Strong understanding of solution architecture for distributed data systems.
- Proven track record of managing complex escalations and executive-level stakeholders.
- Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.
Culture & Benefits
- Comprehensive benefits package tailored to regional needs.
- Commitment to diversity, inclusion, and equal employment opportunity.
- Opportunity to work with cutting-edge AI and data intelligence technologies.
- Collaborative environment focused on customer success and technical innovation.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β