This position may no longer be available
This job was last seen 1 week ago. The listing may have been removed by the employer.
Sr. Solutions Architect - FSI
Drive technical strategy and lead complex customer engagements as a Sr. Solutions Architect at Databricks.
Posted by employer 2 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 1 week ago
Role intensity
30% coding — mostly leadership/strategy
Requirements
- Experience
- 8+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of Sr. Solutions Architect at Databricks, the individual will engage with complex customer projects, focusing on driving technical strategies and fostering executive relationships. Key skills include expert-level coding in Python and SQL, along with deep knowledge of enterprise data architecture and the Databricks platform. This position is ideal for seasoned professionals with a strong background in solutions architecture and a proven ability to influence high-level stakeholders. The role also involves mentoring junior team members and contributing to thought leadership in the field.
Joblaze insights
Quick facts
- How much experience is required?
- At least 8 years of relevant experience for this Sr. Solutions Architect - FSI role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Databricks, PySpark, Python, SQL, Spark.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Sr. Solutions Architect - FSI role at Databricks.
From the original posting
FEQ427R349
As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organisation's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognised technical specialisation that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence.
The Impact You Will Have
- Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth.
- Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy
- Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale
- Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team
- Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms
- Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions
- Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization
- Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement
What We Look For
- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role
- Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview
- Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms
- Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability)
- Declared technical specialization with recognized depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions
- Proven track record of driving consumption growth and platform adoption in large accounts
- Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy
- Experience leading competitive displacements and complex enterprise evaluations
- Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued
- Ability to travel on a weekly basis
Nice to Have:
- Full professional proficiency in English and German
- Financial Service expertise with executive-level domain credibility
- Databricks certifications
- Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company
- Published thought leadership (blogs, conference talks, open source contributions)
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.