Senior Data Architect

Education

• Master or Bachelor’s degree in computer science, information systems management or related field.
• Solution and Architecture certifications such as TOGAF or other.

Experiences

• More than 5+ years of experience in information technology, with 2+ years spent in data architecture or technology solutions definitions and implementations.
• Extensive experience in banking and financial services domain

Knowledge & Skills

• Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions

• Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security
• Expertise with DW Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role playing dimensions, dimensional hierarchies, and data classification
• Experiences in cloud native principals, designs and deployments.
• Extensive experience working with and enhancing Continuous Integration (CI) and Continuous Development (CD) environments
• Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, and Data Archival
• Define workload migration strategies using appropriate tools
• Drive delivery in a matrixed environment working with various internal IT partners
• Demonstrated ability to work in a fast paced and changing environment with short deadlines, interruptions, and multiple tasks/projects occurring simultaneously
• Must be able to work independently and have skills in planning, strategy, estimation, scheduling,
• Strong problem solving, influencing, communication, and presentation skills, self-starter
• Experience with data processing frameworks and platforms (Informatica, Hadoop, Presto, Tez, Hive, Spark etc.)
• Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Python, GIT, Jenkins)
• Exposure to BI tools and reporting software (e.g. MS PowerBI and Tableau)