Solution Architect - Data Analytics Platform

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

Location: bangalore, IN

Posted Date: 1/10/2025