Inhouse Consultant supporting clients in Change Management and Learning projects in international settings. Engaging in project leadership and developing strategic solutions for Schaeffler Consulting.
About the role
- Senior Data Platform Consultant leading the design and delivery of Databricks platform solutions. Shaping strategy and enabling technical growth within a collaborative team at Snap.
Responsibilities
- As Snap continues to scale, clients are investing heavily in modern data platforms built on Databricks.
- We’re supporting increasingly complex programmes, from enterprise migrations to capability‑wide Databricks enablement and we’re expanding our Databricks practice to meet this demand.
- We’re looking for a Senior Data Platform Consultant with strong Databricks experience to join our Delivery team.
- This role is ideal for someone who enjoys shaping platform strategy, leading team delivery, and enabling others to grow their technical skills.
- You’ll join a supportive, collaborative team where everyone’s perspective is valued.
- If you enjoy helping clients unlock the value of their data through modern engineering and thoughtful leadership, we’d love to hear from you.
- You’ll also lead the design and delivery of complex Databricks‑based analytics platform solutions, while helping shape Snap’s growing Databricks capability.
- We’re looking for someone with strong Databricks expertise, collaborative leadership skills and the ability to shape client outcomes.
Requirements
- Deep, hands on experience with Databricks, including:
- Lakeflow Jobs and Lakeflow Declarative Pipelines
- Autoloader and similar spark structured streaming patterns
- PySpark and Spark SQL
- Implementing CICD pipelines using Databricks Asset Bundles
- Unity Catalog and data governance including attribute based access controls
- Strong knowledge of python and SQL
- Experience deploying and managing Databricks workspaces with IaC tools such as Terraform
- Strong experience in at least one cloud platform (Azure, GCP, AWS)
- Experience with enterprise extraction tools such as Fivetran, HVR and Azure Data Factory and their integration with a Databricks platform
- Experience leading large, complex data platform deliveries
- Strong architectural thinking across ingestion, transformation, modelling, orchestration and governance
- Clear communication skills and confidence working with a range of stakeholders
- A practical, outcomes focused approach that connects technical delivery to business value
Benefits
- A purely handson engineering role without strategic or clientfacing elements
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