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Senior Solutions Architect (EDW Enterprise Data Warehouse Migrations)

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What you’ll work on

Full posting
  • Design and drive technical go-to-market and adoption strategy for large-scale EDW migrations

  • Build programmatic migration assets and technical guides for field teams and partners

  • Maintain and direct development of automated migration assessment tools

  • Serve as tier-3 technical escalation for complex or stalled migrations in key accounts

  • Mentor and coach EMEA Solutions Architects and Specialist SAs

From the employer’s posting
Collaborate with EMEA GTM leadership and account teams to design and drive the technical GTM and adoption strategy for large-scale EDW migrations
Architect and continuously refine programmatic assets and detailed technical guides that enable field teams and partners to execute migrations.
Help maintain, enhance, and direct the development of automated assessment tools from customer engagements.
Act as the ultimate technical escalation point for highly complex, strategic, or stalled migrations in must-win accounts across EMEA.
mentoring and coaching the EMEA community of Solutions Architects (SAs) and Specialist SAs (SSAs)

About Databricks

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.

In the employer’s words · Read in context

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Posting record

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Status in our records
Live
First seen by us
Aug 17, 202688 days ago
Recorded sightings
245
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 88

Up longer than most. Similar jobs usually come down between day 6 and day 56.

At Databricks, jobs usually come down by about day 63.

From 13,630 similar postings that came down, and 19 of Databricks’s. Coming down is not always a hire.

Databricks is hiring

29 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring has slowed
  • Its jobs tend to stay up a long time
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SAS
  • SQL
  • AWS
  • Azure
  • Databricks
  • GCP
  • Redshift
  • Snowflake
  • Spark
Where the posting names them
- Mastery of migration migrations scope & progression taking customers from EDW to the full capabilities of the Data Intelligence Platform. - Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL - Excellent communication skills; both written and verbal
- Drive Tier-3 Technical Championship: Act as the ultimate technical escalation point for highly complex, strategic, or stalled migrations in must-win accounts across EMEA. - Enable and Scale the Regional teams: Scale the presales migration practice by mentoring and coaching the EMEA community of Solutions Architects (SAs) and Specialist SAs (SSAs) to ensure scale. - Bridge Field Insights and Product R&D: Serve as a primary technical feedback loop to Product Management and Engineering.
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. The Solutions Architect (EDW Migrations) executes on Databricks’ strategic product lines to develop, establish and drive product adoption and product market fit to grow customer adoption across EMEA. By working with leadership, product and direct account teams, you will jointly engage customers, foster the necessary relationships and position in-depth approaches to migrating their EDW to the Databricks Intelligence Platform. You will develop the appropriate approach, the guardrails, and the steps needed for customers to successfully deliver on their business objectives.
- Excellent communication skills; both written and verbal - Public Cloud Architecting: Hands-on experience designing and implementing big data architectures within major public cloud environments (AWS, Azure, or GCP) - Strategic Enablement & Community Mentorship
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. The Solutions Architect (EDW Migrations) executes on Databricks’ strategic product lines to develop, establish and drive product adoption and product market fit to grow customer adoption across EMEA. By working with leadership, product and direct account teams, you will jointly engage customers, foster the necessary relationships and position in-depth approaches to migrating their EDW to the Databricks Intelligence Platform. You will develop the appropriate approach, the guardrails, and the steps needed for customers to successfully deliver on their business objectives. The Solutions Architect (EDW Migrations) is paired with Product Specialists for Data and Governance. Together, you will devise and implement a strategy across key accounts, develop presentations, demos and other assets, and with account teams deliver them such that the field and customers make informed decisions on adoption strategy and its implementation.
The impact you will have - Lead Regional Migration Strategy: Collaborate with EMEA GTM leadership and account teams to design and drive the technical GTM and adoption strategy for large-scale EDW migrations to the Databricks Intelligence Platform - Develop Programmatic and Scalable Migration Processes: Architect and continuously refine programmatic assets and detailed technical guides that enable field teams and partners to execute migrations.
- Bridge Field Insights and Product R&D: Serve as a primary technical feedback loop to Product Management and Engineering. - Establish Industry Thought Leadership: Author whitepapers, publish technical blogs, and deliver high-impact presentations at public forums (such as the Data + AI Summit) to position the Databricks Intelligence Platform as the premier platform for enterprise database modernization. - Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.
- 8+ Years of Customer-Facing Experience in a customer-facing pre-sales, architect, or consulting role influencing technical executives (CIOs, CISOs, DBAs, and Platform Leads) and driving high-level database modernization strategy. - Legacy Data Warehouse & Modernization Architecture understanding of legacy EDW systems (any of Teradata, Netezza, Snowflake, Synapse, Redshift, and Exadata) and architectures required to successfully transition workloads to the Databricks Data Intelligence Platform. - Mastery of migration migrations scope & progression taking customers from EDW to the full capabilities of the Data Intelligence Platform.
- Experience collaborating with Professional Services and Global Systems Integrators to standardize migration delivery methodologies and ensure smooth handoffs. 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.
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. Benefits
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. Our Commitment to Diversity and Inclusion
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

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Has Databricks posted this job before?

Yes. We’ve followed 4 other Senior Solutions Architect (EDW Enterprise Data Warehouse Migrations) jobs there since August 2026. All 4 are still up.

  1. MilanStill up after 89 days, first seen Aug 17
  2. BerlinStill up after 89 days, first seen Aug 17
  3. ParisStill up after 89 days, first seen Aug 17
  4. LondonStill up after 89 days, first seen Aug 17
  5. This jobUp 89 days so far, first seen Aug 17

Large employers often post one title for several teams, so these can be separate openings.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics.

The Solutions Architect (EDW Migrations) executes on Databricks’ strategic product lines to develop, establish and drive product adoption and product market fit to grow customer adoption across EMEA. By working with leadership, product and direct account teams, you will jointly engage customers, foster the necessary relationships and position in-depth approaches to migrating their EDW to the Databricks Intelligence Platform. You will develop the appropriate approach, the guardrails, and the steps needed for customers to successfully deliver on their business objectives.

The Solutions Architect (EDW Migrations) is paired with Product Specialists for Data and Governance. Together, you will devise and implement a strategy across key accounts, develop presentations, demos and other assets, and with account teams deliver them such that the field and customers make informed decisions on adoption strategy and its implementation.

 

The impact you will have

  • Lead Regional Migration Strategy: Collaborate with EMEA GTM leadership and account teams to design and drive the technical GTM and adoption strategy for large-scale EDW migrations to the Databricks Intelligence Platform
  • Develop Programmatic and Scalable Migration Processes: Architect and continuously refine programmatic assets and detailed technical guides that enable field teams and partners to execute migrations.
  • Build and Integrate Assessment Tooling: Help maintain, enhance, and direct the development of automated assessment tools from customer engagements.
  • Drive Tier-3 Technical Championship: Act as the ultimate technical escalation point for highly complex, strategic, or stalled migrations in must-win accounts across EMEA.
  • Enable and Scale the Regional teams: Scale the presales migration practice by mentoring and coaching the EMEA community of Solutions Architects (SAs) and Specialist SAs (SSAs) to ensure scale.
  • Bridge Field Insights and Product R&D: Serve as a primary technical feedback loop to Product Management and Engineering.
  • Establish Industry Thought Leadership: Author whitepapers, publish technical blogs, and deliver high-impact presentations at public forums (such as the Data + AI Summit) to position the Databricks Intelligence Platform as the premier platform for enterprise database modernization.
  • Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

 

Competencies & Responsibilities

  • 8+ Years of Customer-Facing Experience in a customer-facing pre-sales, architect, or consulting role influencing technical executives (CIOs, CISOs, DBAs, and Platform Leads) and driving high-level database modernization strategy.
  • Legacy Data Warehouse & Modernization Architecture understanding of legacy EDW systems (any of Teradata, Netezza, Snowflake, Synapse, Redshift, and Exadata) and architectures required to successfully transition workloads to the Databricks Data Intelligence Platform.
  • Mastery of migration migrations scope & progression taking customers from EDW to the full capabilities of the Data Intelligence Platform.
  • Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL
  • Excellent communication skills; both written and verbal
  • Public Cloud Architecting: Hands-on experience designing and implementing big data architectures within major public cloud environments (AWS, Azure, or GCP)
  • Strategic Enablement & Community Mentorship
  • Experience collaborating with Professional Services and Global Systems Integrators to standardize migration delivery methodologies and ensure smooth handoffs.

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.

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.

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.

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