Lead Migrations Solutions Architect

(FEQ324R133)

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.

Mission:

As a Lead Migrations Solutions Architect you will;

• Be a deep technical expert in Enterprise Data Warehousing (EDW) and in how customers can be successful with these use-cases on the Databricks Data Intelligence Platform.
• Work closely with customers, Databricks product team and the Global Databricks customer-facing technical field to develop architectures and solutions using our platform and APIs.
• Bring your expertise in EDW and data lakehouse technologies including Apache Spark to build scalable and reusable assets to help guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.
• Provide thought leadership on best practices for migration of EDW workloads to the lakehouse.
• Support enablement activities for the EMEA technical field and drive the EMEA chapter of the relevant SME group(s).
• Drive customer success through direct engagement and scale your expertise across EMEA.

Databricks Field Engineering works with our current and future customers to grow adoption, win technical validations and advise customers on Databricks Lakehouse best practices.

The Lead Migrations Solutions Architect will own the enablement and escalations within the Global Field Engineering team around EDW migrations.

The position will report directly to the Sr. Director Product Specialists Databricks Field Engineering.

The impact you will have:

• Deliver thought leadership and best practices in Data Warehousing and in particular in migrating data warehousing workloads from legacy tools to the Databricks Data Intelligence Platform, ranging from architectural and security design to development and deployment approaches.
• Provide guidance for large-scale enterprise data warehouse migrations, serving as a trusted technical advisor to senior tech leads and executives.
• Become a technical expert in areas such as cloud platforms, data management, performance, and architecture.
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures.
• Improve community adoption (through tutorials, training, hackathons, and conference presentations).

What we look for:

• Pre-sales and/or post-sales experience in designing and delivering Enterprise Data Warehousing and Big Data ETL Solutions in a client or customer environment
• Experienced advising customers in Data Warehousing architecture: Prepare cross-functional team members for internal conversations and communicate directly, including anticipating blockers and address them before they become an issue.
• Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL.
• Certification and/or demonstrated competence in the major cloud platforms (AWS, GCP, Azure) and Big Data technologies (eg Hadoop)
• Fluent in French.
• Flexible to travel, up to 30-40% for the role.

Benefits

• Private medical insurance
• Private life and disability coverage
• Pension Plan
• Equity awards
• Enhanced Parental Leaves
• Fitness reimbursement
• Annual career development fund
• Home office & work headphones reimbursement
• Business travel accident insurance
• Mental wellness resources
• Employee referral bonus