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About this role

We’re looking for an experienced Solution Architect to join our team and play a key role in designing and delivering innovative technical solutions that meet our clients' needs.

Key Responsibilities:

1. Platform Architecture and Design

• Architect and develop a scalable Smart Store Data Analytics Platform to integrate data from ESLs, IoT sensors, cameras, and digital signage.
• Define data models, storage solutions, and processing workflows for both structured and unstructured data.
• Design robust data pipelines and workflows for real-time ingestion, transformation, and retrieval.

2. Collaboration with Stakeholders

• Partner with Product Management to align technical architecture with strategic goals.
• Coordinate with internal R&D teams, CX teams, and outsourced developers to ensure technical feasibility and high-quality outcomes.
• Guide technology partners and vendors in integrating third-party tools and services seamlessly.

3. Data Integration and Management

• Oversee real-time data ingestion and processing from diverse IoT devices.
• Develop and optimize ETL/ELT pipelines for efficient data transformation and management.
• Ensure compliance with global data security and privacy regulations, including GDPR and HIPAA.

4. Performance and Security

• Design for high availability, fault tolerance, and scalability under heavy IoT data loads.
• Implement robust security protocols to maintain data integrity and confidentiality.

5. Technical Leadership and Innovation

• Act as a thought leader for the Smart Store platform vision.
• Mentor teams on best practices for data architecture, real-time analytics, and system scalability.
• Stay updated on emerging trends in IoT, cloud computing, and edge technologies to future-proof the platform.

Qualifications:

Education and Experience

• Bachelor’s degree in data engineering, Computer Science, IT, or related field.
• Minimum of 10 - 15 years of experience in data engineering, platform development, or data architecture, with expertise in IoT or data platform solutions.

Technical Skills:

• Cloud Platforms: Expertise in AWS, Azure, and GCP, including tools like Redshift, BigQuery, and Azure Synapse.
• Big Data Technologies: Hands-on experience with Hadoop, Spark, Kafka, Hive, and Snowflake.
• Data Modelling: Advanced skills in dimensional, relational, and NoSQL schema design.
• Programming Languages: Proficiency in Python, Java, Scala, and SQL for scripting and data manipulation.
• Data Integration & Processing: Expertise in ETL/ELT pipelines, real-time data streaming, and frameworks like Databricks, Talend, and Informatica.
• Real-Time Analytics Tools: Experience with tools like Kinesis, Redis, and Presto.
• Databases: Knowledge of SQL/NoSQL databases, including Oracle, SQL Server, MongoDB, and Cassandra.
• Data Governance: Familiarity with data privacy standards (GDPR, HIPAA) and governance frameworks.
• BI Tools: Proficiency in Power BI, Tableau, and Looker for data visualization.
• DevOps Practices: Experience with CI/CD pipelines, microservices architecture, and API-driven systems.
• Machine Learning and AI Frameworks: Familiarity with ML and AI tools is a plus.
• Certifications:
• AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or Microsoft Certified Azure Data Engineer Associate.
• Additional certifications in data management, governance, or privacy are an advantage.

Why Join SoluM?

• Competitive salary with performance-based incentives.
• Comprehensive healthcare and benefits package.
• Professional growth opportunities in a global environment.
• Collaborate with passionate teams across NA, EMEA, and Asia.
• Drive innovation in the retail technology sectors.

Please note that in this role you may need to travel to Singapore, Pangyo(Seoul), Melbourne, Bangkok, London, Paris, Frankfurt and New Jersey.

Join us at SoluM to shape the future of retail technology through cutting-edge Smart Store solutions.