Director – Architecture

Director – Architecture

Requirements

• Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and six (6) years of experience as Director, Architecture (or closely related occupation) performing data architecture and application design using Cloud technologies in a financial services industry.
• Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and four (4) years of experience as Director, Architecture (or closely related occupation) performing data architecture and application design using Cloud technologies in a financial services industry.
• Demonstrated Expertise(“DE”) migrating databases in a financial services industry using data modeling and architecture tools — Visio and SAP Power, including assessment and planning, identifying redundancies and complementarities, and locating potential integration points; and configuring databases using Troux, ServiceNow and Planview.
• DE designing and building data warehouses and performing ETL development, using data warehousing ETL/ELT tools (Abinitio, Informatica and Streamsets), schedulers (Control M) and messaging/streaming technologies (Kafka and MFT); implementing data governance using data techniques including data discovery and classification, data catalog, data lineage, and data integration; and maintaining data quality using Collibra and Alation.
• DE performing data mapping and migration to minimize downtime and disruption in business continuity using Oracle Goldengate, Kafka, Python, Streamsets, Greenplum, Teradata and Oracle; and consolidating and enhancing reporting solutions using Tableau and Power BI.
• DE designing and building scalable and resilient software solutions according to DevOps practices using continuous integration and continuous deployment (CI/CD) tools — Jenkins and GitHub, including prototyping and building infrastructure frameworks; and performing issue tracking following Agile methodologies using Jira.

Responsibilities

• Architects, crafts and builds highly scalable data solutions.
• Architects and designs next generation data products and platforms.
• Evaluates, prototypes, and recommends emerging data technologies and platforms from open source or vendors.
• Explores new modern data architecture techniques and cloud data technologies.
• Develops data management standard methodologies such as data integration, data security, data warehousing, data analytics, metadata management and data quality.
• Architects modern data integration frameworks and highly scalable distributed systems using open source and emerging data architecture designs and patterns.
• Collaborates and partners with business domain leads, data scientists, product owners, enterprise architects and other functional leads to deliver world class data solutions.
• Architects and develops enterprise scale data solutions.
• Designs end to end data engineering solutions using a variety of data processing patterns.
• Authors and reviews data architecture artifacts, deliverables, and processes to meet the quality standards.
• Documents the yearly data strategy for certain product lines and keep it current with any change in guidelines.

Preferred Qualifications

No preferred qualifications provided.