What are the responsibilities and job description for the Data Architect position at Jobility Talent Solutions?
Our direct client is looking for Data Architect. Please find the job description below.
Role: Data Architect
Location: Lake Mary, FL (Day 1 Onsite)
Job Description:
Mandatory - Note - Data Architect with knowledge in domain specifically fund accounting /Portfolio accounting /Wealth Management
Job Summary:
We are seeking a highly skilled and experienced Data Architect to join our team. The ideal candidate will have a strong background in data architecture, with expertise in Snowflake, Erwin, fund accounting, and portfolio accounting. As a Data Architect, you will be responsible for designing, implementing, and optimizing data solutions that support financial data management, analytics, and reporting, ensuring high performance, scalability, and security.
Key Responsibilities:
- Data Architecture Design: Design and implement scalable and efficient data architectures to support the company's financial data needs, leveraging Snowflake for cloud-based data solutions.
- Data Modeling: Use Erwin or similar tools to develop logical, physical, and conceptual data models for portfolio and fund accounting data.
- ETL Processes: Collaborate with data engineers to build and optimize ETL pipelines to process large datasets from various financial systems
- Integration with Financial Systems: Ensure seamless integration of data between accounting systems, portfolio management systems, and data warehouse solutions.
- Data Governance: Establish data governance practices, including data quality, data security, and metadata management.
- Collaboration with Stakeholders: work closely with business stakeholders, data scientists, analysts, and IT teams to ensure that data solutions meet the company's reporting and analytical requirements.
- Optimization & Performance Tuning: Continuously monitor and optimize data architecture and performance to handle high volumes of financial transactions and reporting.
- Documentation: Create comprehensive documentation on data architecture, models, and processes to ensure consistency and alignment across teams.
