Senior Data Solution Architect

We are seeking a highly experienced Senior Data Solution Architect to lead the design and implementation of innovative, scalable and secure data solutions, providing strategic direction and collaborating with cross-functional teams to drive advanced data initiatives. Responsibilities Define, develop and implement architecture for cloud-based big data analytics solutions Provide technical leadership across multiple teams, fostering collaboration and alignment on architectural decisions Design and oversee systems for data ingestion, processing, security, governance and quality management Evaluate, recommend and apply best practices in data management domains such as integration, modeling, governance and BI solutions Ensure optimal performance, scalability and cost-effectiveness for data systems Review and validate production architecture designs and solutions to ensure alignment with business requirements Drive adoption of cutting-edge technologies including AI/ML and Generative AI tech stacks Lead initiatives in data management domains such as master data management, MLOps and data security Build and maintain robust CI/CD pipelines and DevOps practices in collaboration with development teams Stay informed about emerging data architecture trends and ensure continuous improvement of solutions Requirements 15 to 20 years of experience in software engineering with deep expertise in data solutions At least 2 production-grade architecture designs or solution reviews in the past 2-3 years Knowledge of architecture patterns such as DWH, Data Lake, Lambda, Kappa, Virtualization and Data Mesh Background in centralized, distributed, decentralized and federated data systems Experience with at least one cloud platform: Azure, AWS, GCP or Snowflake Practical expertise with Big Data stack including Spark, Spark Streaming, Hadoop and Hive Capability to work with NoSQL technologies like HBase or Cassandra and orchestration tools such as Oozie, Falcon or Airflow Strong understanding of at least 2 data management domains: Data Integration, MLOps, Generative AI, Data Governance or Data Modeling Hands-on skills in programming with Python, R, Scala, Java or .NET for PoCs or prototypes Proficiency in DevOps and CI/CD tools such as GitLab, GitHub, Azure DevOps and containerization with Docker or Podman Expertise in BI and data visualization tools like Power BI or Tableau