Databricks

Databricks

Solutions Architect - Strat Media

San Francisco, California · Senior

Sponsorship not specified$180k-$248kDetected 5 days ago
PythonSQLSnowflakeDatabricksAWSGCPAzureMachine LearningData EngineeringUnityCommunication

Stay score

odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

$13,149 more$193,149 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $193,149 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 72 green-card filings in this occupation, 99% were for a worker who already held the job.

Green-card intent detected

Databricks, Inc. obtained a prevailing wage determination for Sales Engineers in San Francisco, CALIFORNIA on 2026-06-15. No matching green-card filing appears in our data yet. The determination expires in 5 days (2026-09-12), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file

Green-card follow-through: 52%

Of 52 labor certifications old enough to have been used, 25 expired without the employer filing the next step. Median time from filing to decision: 482 days.99% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

163 transfer filings in the last year, covering 1450 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

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

Requirements

  • 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
  • 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)
  • 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)

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
  • Presentation → Reference Check
  • Databricks is committed to fair and equitable compensation practices.
  • Based on the factors above, Databricks anticipates utilizing the full width of the range.
  • About Databricks
  • Databricks is the Data and AI company.

Compensation

  • 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.
  • The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
  • Zone 1 Pay Range
  • $180,000 - $247,500 USD

Benefits

  • At 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.

Company info

  • REQ ID FEQ327R527 At Databricks, our customers challenge us with solving some of the world's toughest data problems.
  • Our customers rely on our Solutions Architect team to understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems.
  • You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy.
  • At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

Equal opportunity

  • Our Commitment to Diversity and Inclusion

This listing is sourced directly from Databricks's careers page and normalized into a canonical job model.