Senior Solutions Architect (EDW Enterprise Data Warehouse Migrations)

Cacheflow; Milano; In loco; EUR 113.000 - 140.000; Tempo pieno

Descrizione del lavoro

Databricks in Italy seeks a Solutions Architect (EDW Migrations) to lead regional migration strategy and develop scalable processes for large-scale EDW migrations to the Databricks Intelligence Platform. You will craft technical guides, mentor regional SAs, and serve as a top escalation point for complex migrations.

You will collaborate with Product and Engineering to feed insights, author whitepapers, and deliver impactful presentations at industry forums, driving adoption and modernization

Competenze

• 8+ years of customer-facing experience in pre-sales, architect, or consulting roles influencing technical executives and migration strategy.
• Legacy Data Warehouse and modernization architecture knowledge across Teradata, Netezza, Snowflake, Synapse, Redshift, Exadata.
• Mastery of migration scope and progression from EDW to Databricks Data Intelligence Platform.
• Experience with Lakehouse architecture including Apache Spark, Python and SQL.
• Excellent written and verbal communication; strong public cloud architecting with AWS, Azure or GCP.
• Experience collaborating with Professional Services and Global Systems Integrators to standardize migration delivery.

Mansioni

• Lead regional migration strategy and drive adoption across EMEA with account teams.
• Develop programmatic and scalable migration processes and technical guides for field teams.
• Build and integrate automated assessment tooling from customer engagements.
• Act as tier-3 escalation point for complex migrations in must-win accounts across EMEA.
• Scale presales migration practices by mentoring the EMEA SA and SSA community.
• Bridge field insights with Product Management and Engineering feedback.
• Publish industry thought leadership through whitepapers and high-impact presentations.
• Handle the most complex technical challenges in the migration product line.

Conoscenze

Customer-facing experience

EDW modernization

Legacy EDW architectures

Lakehouse architecture

Apache Spark

Python

SQL

Public Cloud (AWS/Azure/GCP)

Communication skills

Descrizione del lavoro

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: Helpmaintain, 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.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range 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 which can be accessed here.

Italy Pay Range

€112.700 — €140.325 EUR

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.

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