Solutions Architect - Retail

Databricks Inc.; United States; À distance; USD 140 000 - 210 000; Plein temps

Résumé du poste

Databricks Inc. in the United States is seeking a Solutions Architect (L5) to lead the technical strategy for customers, own architecture discussions, drive platform adoption, and act as a trusted advisor to customer technical leads.

You will design scalable, production-grade data pipelines and ML/AI solutions across data engineering, real-time analytics, and lakehouse patterns, with experience in cloud deployments on AWS, Azure, or GCP.

Qualifications

• 6+ years in solutions architecture, data engineering, or senior technical roles.
• Strong coding proficiency in Python and SQL with live coding and debugging skills.
• Deep expertise in distributed data systems, pipelines, streaming, lakehouse patterns, and cloud-native platforms.
• Excellent ability to lead architecture discussions with senior stakeholders and translate architectures to business value.

Responsabilités

• Own the end-to-end technical strategy for accounts, from discovery to production deployment and consumption growth.
• 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 differentiation through custom-built solutions.
• Develop and declare an emerging technical specialization to become a go-to resource for the team.
• Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex needs.
• Influence product direction by providing feedback on customer requirements and competitive gaps.

Connaissances

Python

SQL

Distributed data systems

Architecture discussions

Cloud deployments

Communication

Leadership

Formation

Bachelor's or Master's in Computer Science, Engineering, or quantitative field

Description du poste

Solutions Architect (L5)

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The Role

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. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain.

The Impact You Will Have

• Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
• 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
• Develop and declare an emerging technical specialization (archetype) - becoming a go-to resource for your team in that domain
• 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

What We Look For

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
Excellent communication skills - able to translate complex architectures into business value for both technical and executive audiences
Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to Have:

• 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.)