Senior Solutions Architect

About the Role
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 are a must for the role.
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 focussed 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.
Qualifications
Proven track record as a Data/Analytics Solution Architect in complex enterprise environments with experience in data modelling, warehousing, and information architecture.
Required Skills
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.
At least 7 years of experience of architecting on premise and cloud data solutions in Finance and Supplychain domains.
Preferred Skills
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.

Work arrangement
No