Description

Key Skills: AWS EMR, AWS Glue, AWS S3, Databricks, Amazon RDS, SQL, Enterprise Data Architecture, Data Modeling, Wealth Management, Investment Reporting, Portfolio Accounting, ETL/ELT, Data Integration, Cloud Data Platforms

Roles & Responsibilities:

• Design and maintain enterprise data architectures supporting wealth management, investment reporting, portfolio accounting, and OCIO operations.
• Translate business requirements into conceptual, logical, and physical data models and high-level and low-level solution designs.
• Define data ingestion, integration, transformation, refresh, replication, and availability strategies across cloud data platforms.
• Guide development teams through implementation, review solution designs and code, and provide technical leadership to data engineers.
• Establish secure, scalable, and compliant data solutions while supporting troubleshooting, estimation, sprint planning, and release governance.

Skills Required:

• 18 - 20 years of experience in data architecture, cloud data platforms, and enterprise solution design.
• Hands-on architecture experience with AWS EMR, AWS Glue, AWS S3, Databricks, and Amazon RDS.
• Strong expertise in enterprise data architecture, data modeling, and investment or wealth management data domains.
• Experience designing scalable cloud data platforms, ingestion pipelines, ETL/ELT strategies, and data integration solutions.
• Proficiency in SQL and experience with data security, access control, APIs, data availability, and architecture governance.

Good to Have:

• Experience with data analytics, data governance, generative AI for data analytics, or Snowflake.

Education:

• Any graduation degree.

Key Skills

Education

Any Graduate