Data & Analytics

Solutions Architect - Adtech

United StatesOnsiteFull TimeDistinguished / ArchitectPosted 18 days agoVisa sponsorship available

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Required skills

Solutions Architect
Adtech
Databricks
Python
SQL
distributed data systems
data engineering
ML/AI
real-time analytics
lakehouse

Nice to have

Databricks certifications
Snowflake
AWS native services
Azure Synapse
Financial Services
Healthcare

Role summary

Databricks is seeking a Solutions Architect specializing in Adtech to lead technical strategy for customers. This role involves owning architecture discussions, driving platform adoption, and advising customer technical leads. The ideal candidate combines deep technical expertise in distributed data systems, Python, SQL, and cloud platforms (AWS, Azure, GCP) with strategic thinking to position Databricks for data and AI initiatives. Responsibilities include designing scalable solutions, leading architecture discussions, and developing a technical specialization. A Bachelor's or Master's degree in a quantitative field or equivalent experience is required, with 6+ years in a relevant technical role.

FEQ427R799The 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.)

Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check

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.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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.

Compliance

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.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Sample Databricks interview questions

1
Design a document processing pipeline
system designmedium
2
Design a distributed file system
system designmedium
3
Design a database schema for a fitness app
system designmedium
4
Design a push notification service for mobile and web.
system designmedium
5
Design an Ad Budgeting System
system designhard

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