Is the Solutions Architect - Consumer Packaged Goods (CPG) role remote?

Yes — Databricks lists this as a fully remote position.

What's the salary range?

Databricks lists $180,000–$247,500 for this role.

How much experience is required?

At least 6 years of relevant experience for this Solutions Architect - Consumer Packaged Goods (CPG) role.

What's the tech stack?

Joblaze extracted these technologies from the posting: AWS, Azure, Databricks, GCP, Python, SQL.

What seniority level is this role?

Databricks targets senior candidates for this position.

Solutions Architect - Consumer Packaged Goods (CPG) at Databricks

Joblaze summary

In the role of Solutions Architect at Databricks, the individual will lead the technical strategy for clients, guiding architecture discussions and driving platform adoption. Key skills include proficiency in Python and SQL, along with expertise in distributed data systems and cloud-native architectures. This position is ideal for someone with over six years of experience in solutions architecture or data engineering, particularly those who can engage with senior technical stakeholders. Databricks emphasizes a collaborative environment, leveraging cross-functional resources to meet complex customer needs.

Joblaze insights

Listed today — first seen on Joblaze October 22, 2026. Last confirmed on Databricks's careers page October 22, 2026.
Salary band is in line with the typical range for Data Engineering roles (median ~$180,656).
Starts above 29% of 130 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 35 companies). See Python salary trends
Python appears in 76.9% of 208 comparable senior data engineering roles in United States; Databricks appears in 7.2% of 208 comparable senior data engineering roles in United States.

Quick facts

Is the Solutions Architect - Consumer Packaged Goods (CPG) role remote?: Yes — Databricks lists this as a fully remote position.
What's the salary range?: Databricks lists $180,000–$247,500 for this role.
How much experience is required?: At least 6 years of relevant experience for this Solutions Architect - Consumer Packaged Goods (CPG) role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Azure, Databricks, GCP, Python, SQL.
What seniority level is this role?: Databricks targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Solutions Architect - Consumer Packaged Goods (CPG) role at Databricks.

From the original posting

Solutions Architect (L5)

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.)

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

Pay Range Transparency

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. For more information regarding which range your location is in visit our page here.

Local Pay Range

$180,000—$247,500 USD

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

Solutions Architect - Consumer Packaged Goods (CPG)

Solutions Architect (L5)

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