Distribution Lead Data Engineer - Client and Innovation

Distribution Lead Data Engineer – Client and Innovation

10+ years of experience in data engineering or a related field, ideally within financial services or asset/wealth management.
Strong background in computer science concepts.
Expertise in relational and dimensional data modeling.
Experience with ETL/ELT tools and technologies such as Talend, Informatica, SSIS (a plus).
Proficiency in building APIs and calculators using cutting-edge cloud and big data technologies like Snowflake, Fivetran, DBT, etc.
Understanding of Master data management principles and their application.
Strong analytical skills with a penchant for tackling complex problems and designing scalable solutions.
Excellent oral and written communication skills.
Comfortable working in a fast-paced environment.
Ability to design and develop data pipelines with a focus on security, scalability, uptime, and reliability.

Design and deliver solutions for wealth management and Institutional asset management business initiatives.
Designing and developing efficient data ingestion processes, data models, and data pipelines leveraging the power of Snowflake.
Collaborating extensively with clients to gain a deep understanding of their data requirements and translating them into robust technical solutions.
Implementing end-to-end ETL/ELT workflows to seamlessly extract, transform, and load data into Snowflake.
Optimizing data pipelines to achieve exceptional performance, scalability, and reliability.
Conducting thorough data quality assessments and implementing effective data governance best practices.
Monitoring and troubleshooting data integration processes to ensure the utmost accuracy and integrity of data.
Staying at the forefront of industry trends and best practices related to Snowflake and data engineering.

Experience with ETL/ELT tools and technologies such as Talend, Informatica, SSIS (a plus).