Senior Solutions Architect - Agencies
Leads complex enterprise architecture engagements, consumption strategy, and executive relationships for data and AI platform adoption. Requires 8+ years in solutions architecture or related technical leadership, expert Python and SQL skills, and deep enterprise data architecture expertise.
About the job
Responsibilities
- Drive technical and consumption strategy for complex customer engagements, influencing platform adoption and revenue growth.
- Own senior-level technical relationships and advise executives on enterprise data and AI strategy.
- Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
- Serve as an expert on the Databricks Platform and mentor peers across the team and region.
- Develop competitive strategies and position Databricks against incumbent and emerging platforms.
- Orchestrate cross-functional teams, including DSAs, SSAs, partners, and product teams, to deliver enterprise-grade solutions.
- Coach and develop junior solutions architects.
- Contribute to field-engineering thought leadership through customer content, workshops, and community engagement.
Requirements
- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
- Expert coding proficiency in Python and SQL; Spark/PySpark preferred. The interview includes a live coding assessment and platform build.
- Deep expertise in enterprise data architecture, distributed systems, streaming and real-time systems, lakehouse design patterns, data governance, and cloud-native platforms.
- Expert Databricks Platform knowledge, or equivalent depth with competing platforms and demonstrated ability to learn quickly.
- Recognized technical specialization, such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
- Experience driving consumption growth and platform adoption in large accounts.
- Executive presence and ability to influence directors, vice presidents, and C-level stakeholders.
- Experience leading competitive displacements and complex enterprise evaluations.
- Ability to connect 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.
Nice to Have
- Databricks certifications.
- Experience at Databricks, Snowflake, AWS, Google, Microsoft, or a leading data and AI company.
- Published thought leadership, including blogs, conference talks, or open-source contributions.
- Industry vertical expertise with executive-level domain credibility.
Compensation
- Base salary range: $219,100–$301,300 USD.
- Additional compensation may include an annual performance bonus, equity, and benefits.
Skills
Python, SQL, Spark, Pyspark, Databricks, Distributed Systems, Real-Time Systems, Lakehouse, Data Governance, Cloud-Native Platforms, Machine Learning, Artificial Intelligence, Enterprise Data Architecture, Competitive Strategy, Solutions Architecture
Similar jobs
Solutions Architecture jobs
Databricks
Seattle, WA
Leads pre-sales technical strategy and enterprise adoption of Databricks for Travel and Hospitality customers, guiding data and AI transformations. Requires substantial enterprise account, pre-sales, big data, cloud, data science, and production programming experience.
Databricks
United States
The Solutions Architect will lead pre-sales architecture, demonstrations, and proofs of concept for Customer Lake, advising marketing and data executives on customer data, CDP, Lakehouse, and agentic AI solutions. The role requires at least five years in customer-facing pre-sales or consulting and hands-on cloud data architecture experience.
Databricks
Seattle, WA
Leads complex enterprise data and AI architecture engagements, drives Databricks adoption and consumption, and advises executive stakeholders. Requires 8+ years in solutions architecture or related customer-facing technical leadership, deep data-platform expertise, and advanced Python and SQL proficiency.
Databricks
United States
Leads complex enterprise data and AI architecture engagements, driving Databricks adoption, executive relationships, and consumption strategy. Requires 8+ years of customer-facing technical leadership, expert Python and SQL skills, deep enterprise data architecture expertise, and strong executive influence.
Databricks
Dallas, TXLeads technical strategy, value selling, and Databricks adoption for major Retail and CPG enterprise accounts. The role requires extensive enterprise experience, pre-sales expertise, big data and cloud knowledge, production programming skills, and the ability to drive data-driven transformation.