Solution Architect – Contract

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November 10

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Wavicle Data Solutions

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SaaS • Enterprise • Artificial Intelligence

Wavicle Data Solutions is a consultancy that specializes in data management, advanced analytics, business intelligence, and AI-driven solutions. They offer a range of services including cloud infrastructure modernization, data strategy and assessment, platform management, and data privacy compliance. Wavicle partners with leading cloud and data technology providers like AWS, Azure, Databricks, and Snowflake to deliver customized, scalable solutions that enhance operational efficiency and business intelligence. Serving industries such as finance, healthcare, insurance, and retail, Wavicle aims to empower organizations with actionable insights and optimized workflows through cutting-edge technology and expertise.

501 - 1000 employees

Founded 2013

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

📋 Description

• Lead the current state assessment of Client's data platform, including architecture, tooling, data governance, and data flows. • Design a future-state logical architecture based on: business and customer needs, third-party research and benchmarks, prior experience with large-scale data platforms. • Develop a multi-phase roadmap for platform modernization, including migration strategy, capability buildout, and stakeholder alignment. • Facilitate executive and stakeholder workshops to gather input, validate direction, and drive consensus. • Collaborate with data engineering, analytics, and IT teams to ensure feasibility and scalability of proposed solutions. • Provide guidance on data governance, security, and compliance in the context of the new architecture.

🎯 Requirements

• Experience in data architecture, solution architecture, or enterprise architecture roles. • Proven experience designing and implementing modern data platforms using: Microsoft Fabric, Databricks, Oracle, Azure Synapse. • Strong understanding of: Data lakehouse architectures, ETL/ELT pipelines, Real-time and batch processing, Data mesh and data fabric principles. • Experience with cloud platforms (Azure preferred) and hybrid data environments. • Ability to translate business needs into technical architecture and articulate trade-offs. • Familiarity with data governance frameworks, metadata management, and data cataloging. • Excellent communication and stakeholder management skills, including executive-level engagement. • Experience in logistics, transportation, or supply chain domains is a plus.

🏖️ Benefits

• Competitive compensation and bonuses • Unlimited paid time off • Health, retirement, and life insurance plans • Long-term incentive programs • Meaningful work that blends innovation and purpose