Job Summary: We are looking for a seasoned Data Architect to design and implement scalable, high-performance data frameworks for analytics and real-time processing. The ideal candidate will have over 8 years of experience in data architecture, particularly within fintech or financial services, with a strong background in large-scale financial applications. You will be pivotal in optimizing our data infrastructure and ensuring data integrity, security, and accessibility.
Key Responsibilities:
- Data Architecture Design: Develop scalable, flexible, and secure data architectures. Create and maintain data models, schemas, and warehouses.
- Data Strategy & Roadmap: Collaborate with leadership to define data strategy, drive data integration, and streamline processes.
- Data Governance & Compliance: Implement and enforce data governance policies, ensuring data quality, privacy, and regulatory compliance.
- Optimization & Performance Tuning: Continuously monitor and optimize data architectures for performance and cost-efficiency.
- Collaboration with Engineering Teams: Work closely with data engineers, scientists, and software engineers to align on data needs and best practices.
- Technology & Tool Selection: Evaluate and implement data management, storage, and processing technologies.
Required Qualifications:
- 8+ years in data architecture, data engineering, or related fields within fintech, finance, or technology.
- Proven experience with data modeling, ETL/ELT processes, and database systems (e.g., SQL, NoSQL, Oracle, PostgreSQL, MongoDB).
- Extensive experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
- Proficient in designing and maintaining data warehouses (e.g., Snowflake, Redshift) and familiar with BI tools (e.g., Tableau, PowerBI).
- Knowledgeable in data governance practices, privacy regulations (GDPR, CCPA), and security best practices.
- Strong problem-solving skills and ability to analyze complex data requirements.
- Excellent communication skills and ability to work cross-functionally.
Preferred Qualifications:
- Certifications in data architecture or cloud (e.g., AWS Certified Data Analytics, Microsoft Certified Azure Data Engineer).
- Familiarity with machine learning and AI concepts.
- Proficiency in Python, R, or other data-related programming languages.
Expected Salary: $175,000 - $210,000
What You'll Love About Beacon:
- Unlimited PTO with a minimum of 20 days off per year.
- 10 paid company holidays.
- 401k match and charitable donation match.
- Access to Udemy for learning and development.
- A culture that values employee input and impact, fostering creativity and innovation.
