Data Architect

• Responsible for building data lake, data foundation and analytical solution with standard design and modern cloud/hybrid architecture pattern
• Work with cross functional teams to make the data usable for functional users and applications to enable delivery of business values to customers
• Provide architectural leadership and vision for Bank's Next Gen Data Platform and Data Lakehouse
• Develop and maintain architectural roadmap for data products and data services plus ensuring alignment with the business and enterprise architecture strategies and standards
• Drive design and architecture for Data Transformation & aggregations, design and development of a roadmap, and implementation based upon current vs. future state in a cohesive architecture viewpoint
• Review and understand business requirements and technical designs for physical data design, data pipelines (ETL) and other technical integrations
• Build data pipelines for multiple storage solutions, including distributed platforms such as Databricks, Trino, Hadoop and MPP databases and cloud Data warehouse
• Design and implement low latency analytical platform services leveraging open source and cloud technology
• Design and implement data governance and MDM tools
• Designing and building data capabilities to support cloud data strategy, including fully automated data Pipelines, data curation and consumption

Experience:

• Experienced technology leader with a minimum of 12+ years of software development experience including 10+ years of data application or data platform architecture experience with deep technology expertise
• Deep knowledge and hands on experience in design and implementation of Big Data technologies (Apache Spark, Apache Airflow, Apache Flink, Streaming data, ADLS, S3, Object Data store, Trino, Databricks, Unity Catalog, Data governance tools) and familiarity with data architecture patterns (data warehouse, data lake, data lakehouse, data ingestion, curation and consumption)