Required qualifications, capabilities, and skills
- Bachelor's or Master's degree in Computer Science or related field with 10+ years of experience.
- 5+ years as a Data Product Solution Architect or similar role leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
- Hands-on experience in system design, application development, and operational stability.
- Expertise in architecture disciplines and programming languages.
- Deep knowledge of data architecture, modeling, integration, cloud data services, data domain driven design, best practices, and industry trends in data engineering
- Practical experience with AWS, big data technologies, and data engineering disciplines.
- Advanced experience in one or more data engineering disciplines, e.g. streaming, ELT/ELT, event processing.
- Proficiency in SQL and data warehousing solutions using Teradata or similar cloud native relational databases, e.g. Snowflake, Athena, Postgres
- Strong problem-solving, communication, and interpersonal skills.
- Ability to evaluate and recommend technologies for future state architecture.
Preferred qualifications, capabilities, and skills
- Financial services experience, especially in card and banking.
- Experience with modern data processing technologies such as Kafka streaming, DBT, Spark, Python, Java, Airflow, etc. using data mesh & data lake.
- Business architecture knowledge and experience with architecture assessment frameworks.