Senior Data Architect

Beacon is a financial technology platform designed to empower investment and risk teams with the tools and infrastructure they need to innovate and stay ahead. Combining deep financial markets expertise with cutting-edge technology, Beacon provides everything from pre-built trading and risk applications to the flexibility for quantitative developers to build, deploy, and share custom analytics and models. Its unified, cloud-native platform helps firms manage risk across all asset classes, streamline operations, and focus on developing strategies that drive competitive advantage. For more information visit www.beacon.io 

Job Summary:
We are seeking an experienced Data Architect to design and implement robust data frameworks that support scalable, high-performance analytics and real-time data processing. The ideal candidate will have at least 10 years of experience in data architecture, especially within fintech or financial services, with deep expertise in designing data solutions that support large-scale financial applications. You will play a key role in optimizing our data infrastructure and ensuring data integrity, security, and accessibility.

Key Responsibilities:

• Data Architecture Design:
• Design and implement a scalable, flexible, and secure data architecture to meet current and future business needs.
• Develop and maintain data models, database schemas, and data warehouse solutions for efficient storage, processing, and retrieval.
• Data Strategy & Roadmap:
• Collaborate with executive leadership and cross-functional teams to define data strategy, aligning it with business goals.
• Drive data integration strategies to bring together data from multiple sources and streamline processes.
• Data Governance & Compliance:
• Establish and enforce data governance policies to ensure data quality, privacy, and security in compliance with industry regulations (e.g., GDPR, SOC 2).
• Implement metadata management, data lineage, and data cataloging processes.
• Optimization & Performance Tuning:
• Continuously monitor and optimize data architectures for performance, scalability, and cost-effectiveness.
• Conduct regular reviews of database performance, tuning databases, and optimizing queries to ensure high performance.
• Collaboration with Engineering Teams:
• Work closely with data engineers, data scientists, and software engineers to ensure alignment on data needs and best practices.
• Guide teams on data architecture and storage solutions, including data lakes, data warehouses, and real-time processing pipelines.
• Technology & Tool Selection:
• Evaluate and recommend data management, storage, and processing technologies that align with company goals.
• Oversee implementation of data infrastructure tools and platforms, such as cloud storage, big data tools, ETL/ELT processes, and data visualization tools.

Required Qualifications:

• Experience: 10+ years of experience in data architecture, data engineering, or related field within the fintech, finance, or technology sector.
• Technical Expertise: Proven experience with data modeling, ETL/ELT processes, and database management systems (e.g., SQL, NoSQL, Oracle, PostgreSQL, MongoDB).
• Big Data & Cloud Proficiency: Strong experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
• Data Warehousing & BI: Experience designing and maintaining data warehouses (e.g., Snowflake, Redshift) and familiarity with BI tools (e.g., Tableau, PowerBI).
• Data Governance & Security: Knowledge of data governance practices, data privacy regulations (GDPR, CCPA), and data security best practices.
• Analytical Skills: Strong problem-solving skills with the ability to analyze complex data requirements and propose effective solutions.
• Collaboration: Excellent communication skills with a proven ability to work cross-functionally with data scientists, engineers, and business stakeholders.

Preferred Qualifications:

• Certifications: Data architecture or cloud certifications (e.g., AWS Certified Data Analytics, Microsoft Certified Azure Data Engineer).
• Experience with ML & AI: Familiarity with machine learning and AI concepts, partic