Job Description : Senior Solution Architect Data.
Role Overview
Experienced Senior Solution Architect Data to lead the design and governance of enterprise-wide data platforms and analytics solutions.
Lead design and optimization of the data ecosystem for a large engineering enterprise with a diverse application landscape that includes multiple ERPs (Baan, Oracle, SAP), and SaaS solutions.
Demonstrated technical expertise with strong architectural leadership are 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.
- At least 7 years of experience of architecting on premise and cloud data solutions in Finance and Supply chain domains.
Desirable (Nice To Have)
- 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)
