Senior Data Solution Architect

Senior Data Solution Architect - Asia Data Office Join the Asia Data Office as a Senior Data Solution Architect to lead the design and implementation of scalable, standardized, and reusable data solutions. This role is ideal for individuals with deep expertise in data modeling and architecture, a passion for reducing technical debt, and the ability to bridge functional teams to deliver cohesive data platforms. You will also mentor junior staff and supervise contingent workers to ensure best practices are consistently applied. Position Responsibilities Provide deep expertise in conceptual, logical, and physical data modeling. Drive architectural decisions that reduce technical debt and increase standardization and reusability across platforms. Act as a bridge between business, engineering, and analytics teams to ensure cohesive and scalable data solutions aligned with strategic goals. Mentor junior engineers and supervise contingent workers, ensuring adherence to best practices in data engineering and architecture. Design and implement enterprise‑grade data platforms using modern architecture patterns such as data lakehouse, data mesh, and event‑driven systems. Support the development of automated data pipelines and CI/CD practices using tools like dbt, Apache NiFi, and custom frameworks. Architect solutions across cloud platforms (AWS, Azure, GCP) and big data ecosystems (Hadoop, Spark, Hive, Kafka), leveraging services like Databricks, BigQuery, Synapse, and Snowflake. Document architecture designs, metadata management, data lineage, and ensure compliance with data governance and security standards (e.g., GDPR, HIPAA). Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field. 7–10+ years in data architecture, data engineering, or related roles. Experience with agile methodologies and DevOps practices. Proven experience designing and implementing enterprise‑scale data platforms. Data Modeling: Conceptual, logical, physical models; normalization/denormalization. Database Technologies: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra), Graph DBs (Neo4j). ETL/ELT Tools: Informatica, Talend, dbt, Apache NiFi, custom pipelines. Big Data Ecosystem: Hadoop, Spark, Hive, Kafka. Cloud Platforms: AWS, Azure, GCP – Databricks, BigQuery, Synapse, Snowflake. Programming: Python, Scala, Java, or similar for data engineering tasks. Architecture Patterns: Data lakehouse, data mesh, event‑driven architecture, microservices. Strong understanding of business strategy and how data supports it. Excellent communication and stakeholder management skills. Ability to mentor junior engineers and collaborate across cross‑functional teams. Preferred Qualifications Cloud: AWS Certified Data Analytics, Azure Data Engineer, Google Cloud Professional Data Engineer Data Management: CDMP (Certified Data Management Professional) Architecture: TOGAF, DAMA-DMBOK Data Governance & Security: Metadata management, data lineage, access control, compliance (GDPR, HIPAA) When you join our team We’ll empower you to learn and grow the career you want. We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than just words. As part of our global team, we’ll support you in shaping the future you want to see. 關於宏利和恒康 宏利金融公司是一家業界領先的國際金融服務商，致力於幫助人們實現「輕鬆投資理財，樂享豐盛人生」。若要進一步了解我們，請瀏覽 宏利是平等機會僱主 在宏利／恒康，我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度，我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。 我們的首要任務是消除障礙，為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。申請人要求提供協助所分享的信息將會按照適用法律及宏利／恒康政策儲存及使用。應徵過程中如需協助，請聯絡 。 Working Arrangement 混合式 #J-18808-Ljbffr