Senior Solutions Architect

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.