Jobs / Summary

Senior Solutions Architect (Lakehouse-focused)

Confidential company · Berlin · Posted May 29, 2026

Public summary

Seeking an experienced Senior Solutions Architect to join a global data and AI company’s specialized product team. This role involves partnering with account executives to drive strategy and adoption of lakehouse and transactional database products across varied industries. The position requires extensive OLTP expertise, cloud infrastructure knowledge, and skills in data engineering and AI ecosystems to design and implement innovative client solutions. The architect will act as a technical advisor, delivering workshops and influencing product roadmaps to ensure client success in mission-critical deployments.

Location and work setup

Location
Berlin
Remote status
On-site
German requirement signal
No German Required Detected
Detected job language
English

Responsibilities

Design and implement strategic engagement plans with account teams; serve as a trusted technical advisor and product champion for clients; develop presentations, demos, and educational materials to facilitate product adoption; collaborate with global system integrators and consulting partners; manage complex technical challenges as tier-3 escalation point; provide feedback to product and engineering teams for roadmap development; enable clients at scale through workshops and knowledge sharing.

Qualifications

Minimum 10 years of transactional database (OLTP) experience in engineering, product development, administration, or pre-sales; at least 6 years in customer-facing roles influencing technical executives and driving data strategy; proficiency in SQL and Python; hands-on experience with major public cloud platforms; broad understanding across data engineering, data warehousing, AI, ML, governance, transactional systems, application development, and streaming; undergraduate degree or higher in Computer Science, Applied Mathematics, Engineering, or related technical field; proven ability to manage large territories and collaborate across cross-functional teams.

Skills

Transactional databases (OLTP) Product development Pre-sales Client engagement Big Data ecosystems Lakehouse architecture AI ecosystems Disaster recovery High availability Backup and recovery Scale-out methods Security management Data migrations Sales strategy Customer workshops SQL Python programming Cloud platforms (AWS, Azure, GCP) Data engineering Data warehousing Artificial Intelligence Machine Learning Governance Application development Streaming technologies