Senior Solution Architect - Data Management

Role Overview
:
Experienced Senior Solution Architect Data to lead the design and governance of enterprise-wide data platforms and analytics solutions.
Lead design and optimisation of the data ecosystem for a large engineering enterprise with a diverse application landscape that includes multiple ERPs (Baan, Oracle, SAP), cloud platforms, and SaaS solutions.
Demonstrated technical expertise with strong architectural leadership is a must for the role.
Key Responsibilities

• Define and govern the enterprise data architecture, ensuring alignment with business strategy and IT standards.
• Design end-to-end data solutions across ingestion, storage, modelling, analytics, and governance layers, especially focused on leveraging Azure and Databricks as strategic platforms.
• Develop strategies to unify data from multiple ERPs (Baan, Oracle, SAP) and cloud/SaaS systems into a data lake platform.
• Establish information architecture, metadata management, and data quality frameworks.

• Collaborate with business stakeholders and development teams to translate requirements into scalable technical solutions.
• Provide thought leadership on emerging data technologies and how they can create business value.
• Support governance processes for change management, security, compliance, and lifecycle management of data assets.
  

Required Skills & Experience

• Proven track record as a Data/Analytics Solution Architect in complex enterprise environments with experience in data modelling, warehousing, and information architecture.
• Experience architecting solutions using Azure data services and Databricks (e.g., Synapse Analytics, Data Lake, Azure SQL, Data Factory, Spark, and Delta Lake) for large-scale data engineering and advanced analytics.
• Experience in implementing data governance, security, and regulatory compliance practices.
  

Desirable (Nice To Have)

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• Exposure to advanced analytics, AI/ML solutions, or IoT data integration.
• Experience with API-led integration and event-driven architectures.
• Knowledge of industry-specific data standards.
  

Personal Attributes

• Strong leadership, communication, and stakeholder management skills.
• Ability to balance strategic vision with practical delivery.
• Proactive problem-solver who thrives in complex, multi-system landscapes.
  

(ref:hirist.tech)