Databricks Solution Architect

Overview

As a Data Solutions Architect, you will design and deliver scalable, cloud-native big data platforms that enable advanced analytics and data modernization for enterprise clients. You collaborate with executives and technical teams to shape modern data strategies, guiding data lake/lakehouse and streaming solutions. You’ll lead architectural work, influence governance, and drive value through data products across industries. This role offers impact through transformation journeys and thought leadership within a fast-evolving data practice.

Responsibilities

• Client engagement and delivery of modern data solutions
• Solution design and implementation for big data platforms
• Modernisation and transformation initiatives across clients
• Thought leadership and knowledge sharing within the practice
• Collaboration and leadership with client partners and internal leaders

Key requirements

• Expertise in designing and implementing modern big data architectures for large enterprises
• Strong consulting orientation with ability to engage senior stakeholders
• Hands-on data lifecycle experience: ingestion, storage, transformation, governance, analytics, consumption
• Deep understanding of data product strategies, Data Mesh and Data Fabric
• Ability to align data strategies with business objectives to drive measurable value
• Excellent analytical, problem-solving, and communication skills
• Proven experience leading data modernisation initiatives across multiple sectors

• Executive-level stakeholder engagement
• Strong communication and analytical thinking
• Leadership and collaboration across cross-functional teams
• Apache Spark
• Kafka
• Confluent

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