Senior Data Architect

Beacon Platform was founded in 2014 by Kirat Singh and Mark Higgins, industry leaders in building and designing enterprise-scale trading, analytics, and risk management platforms. Our products enable financial institutions of all sizes to operationalize front-office development at enterprise scale on the cloud. The Platform consists of Beacon Front Office Suite for cross-asset management of trades, positions and risk, and Beacon Core, an integrated development and operating platform that enables quants and software engineers to collaboratively develop and continuously deploy business solutions. Beacon’s open architecture and transparent source-code model empower clients to achieve their business goals while maintaining unparalleled ownership of the full technology stack.

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, particularly in the context of data architecture and data engineering.
• Programming: Proficiency in Python, R, or other data-related programming languages for data manipulation and processing.

Expected Salary: $175,000 - 210,000

What You’ll Love About Beacon
Unlimited PTO - This isn’t your typical unlimited PTO plan. All employees take at least 20 days off a year. After that? Take the time off you need to strike the perfect work/life balance for you.
10 paid company holidays
401k matchCharitable donation match
Access to Udemy - An online learning and teaching marketplace with over 185,000 courses. Learn programming, marketing, data science, or brush up on your public speaking and writing skills. 
Company Culture - Our employees have a voice and can make a big impact across the organization. A lot of people in large companies don’t feel connected to what they’re doing and feel like they’re put in a box. Here you will have the freedom to be creative and innovative. We’re looking for smart and driven people to help get us to the next level. 

This job description is intended to outline the general nature and key responsibilities of the role. However, it is not exhaustive, and additional duties and responsibilities may be assigned as necessary to meet the evolving needs of the company.

Beacon does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. Beacon encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.

Beacon Platform participates in eVerify