50 DIATOZ Solutions Jobs
Solution Architect - Data Analytics Platform (10-15 yrs)
DIATOZ Solutions
posted 4d ago
Flexible timing
Key skills for the job
Job Description :
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Note : Please note that in this role you may need to travel to Singapore, Pangyo(Seoul), Melbourne, Bangkok, London, Paris, Frankfurt and New Jersey.
Functional Areas: Software/Testing/Networking
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