Senior Data Architect – Data Engineering & Business Intelligence

Role Overview We are seeking a Senior Data Architect – Data Engineering & Business Intelligence to lead our multi-cloud data transformation journey. This role demands a visionary leader who can define data strategy, architect scalable solutions, and foster a high-performance culture. The ideal candidate brings hands-on expertise across Azure, AWS, and GCP , drive innovation through data-driven insights, collaborate with cross-functional teams to develop data products, and ensure seamless integration with existing systems. Key Responsibilities: Define and implement data architecture strategies for various business domains; Design and deploy scalable data pipelines using cloud-based technologies such as Azure Data Factory, AWS Glue, and Google Cloud Data Fusion; Collaborate with data engineers to develop and maintain large-scale data processing workflows; Develop and maintain data quality metrics and dashboards; Ensure compliance with regulatory requirements and industry standards; Foster a culture of innovation, experimentation, and continuous learning within the team. Requirements: 10+ years of experience in data architecture, engineering, or related field; Strong understanding of cloud-based technologies such as Azure, AWS, GCP, and Google Cloud Data Fusion; Experience with data warehousing, ETL, and big data processing tools such as Azure Synapse Analytics, AWS Glue, and Apache Beam; Strong analytical and problem-solving skills; Excellent communication and collaboration skills; Ability to work in a fast-paced environment and adapt to changing priorities. Benefits: Competitive salary and benefits package; Opportunities for professional growth and development; Collaborative and dynamic work environment.