Solutions Architect - Retail

Databricks; Florida; Sur place; USD 180 000 - 240 000; Plein temps

Avantages offerts par ce poste

Comprehensive benefits

Diversity and inclusion focus

Résumé du poste

Databricks is seeking a Solutions Architect (L5) to own the technical strategy for customers, leading architecture discussions and driving platform adoption. You will serve as a trusted advisor to customer technical leads and architects, shaping end-to-end solutions across data engineering, ML/AI, and real-time analytics.

You will orchestrate cross-functional resources, influence product direction, and demonstrate Databricks differentiation through tailored, scalable solutions in production

Qualifications

• Lead complex architecture discussions and design scalable, production-grade solutions.
• Demonstrate live coding, debugging and solution-building in Python/SQL.
• Architect distributed data pipelines, streaming and lakehouse patterns.
• Display proficiency with cloud deployments including security and governance.

Responsabilités

• Lead complex architecture discussions spanning data engineering, ML/AI, and real-time analytics.
• Advise customer architects, engineering leads and Directors as trusted technical advisor.
• Drive technical wins by demonstrating Databricks differentiation through custom solutions.
• Coordinate cross-functional resources to deliver comprehensive customer solutions.
• Provide feedback on requirements and competitive gaps to influence product direction.

Connaissances

6+ years experience

Python and SQL

Distributed data systems

Databricks platform

Leadership in architecture discussions

Public cloud deployments (AWS/Azure/G‑

Formation

Bachelor's or Master's in CS/Engineering

Outils

Databricks Platform

Snowflake

AWS

Azure

Azure Synapse

GCP

Description du poste

Solutions Architect (L5) FEQ128R146

As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth.

Key Responsibilities

• Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics


• Serve as a trusted technical advisor to customer architects, engineering leads, and Directors


• Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions


• Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs


• Influence product direction by providing structured feedback on customer requirements and competitive gaps

Required Experience and Skills

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role


• Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills


• Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms


• Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)


• Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis


• Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations


• Track record of driving platform adoption and consumption growth within accounts


• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)


• Databricks certifications (Data Engineer, ML, Platform)


• Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you’ll position against


• Background in a data/AI company or cloud provider


• Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)

Interview Process

Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch!

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Local Pay Range

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Comprehensive Benefits and Perks

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.