Databricks architect

• Azure

• Databricks Workflows
• Databricks SQL
• Apache Spark
• PySpark
• SQL
• Python
• Data Modeling
• ETL/ELT Design
• Batch and Streaming Architectures

• Ability to understand and track new developments of how digital solutions are changing or have the potential to transform current models of business.
• Strong familiarity with emerging digital frameworks and patterns, Information Security and Data access controls
• Knowledge of IoT platforms and data collection solutions to support IoT projects (i.e. business automation, manufacturing, asset management, health, asset tracking, smart utilities, etc.)
• Experience of working with platform/package vendors and their solution teams as part of architecting the overall solution.
• Technical acumen and proficiency in Agile and DevOps methodologies, tools, and governance/standards
• Deep Microsoft Azure product knowledge and understanding of product features, with exposure to other cloud solutions (Google, AWS) a plus.
• Proven track record in designing, developing and implementing data modelling, at a conceptual, logical and physical level.
• Experience with accountability for E2E Data Architecture and Lifecycle (including non-functional requirements and operations) management.

Understands industry recognised data modelling patterns and standards

Salary Range: $140,000-$160,000 a year