Senior Data Architect

$175,000 - $210,000/Yr

Beacon - New York, NY

Full-time - Senior

New York, NY

Professional, Scientific, and Technical Services

About the position

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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Requirements

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

Nice-to-haves

• Data architecture or cloud certifications (e.g., AWS Certified Data Analytics, Microsoft Certified Azure Data Engineer).
• Familiarity with machine learning and AI concepts, particularly in the context of data architecture and data engineering.
• Proficiency in Python, R, or other data-related programming languages for data manipulation and processing.

Benefits

• Unlimited PTO - All employees take at least 20 days off a year.
• 10 paid company holidays.
• 401k match.
• Charitable donation match.
• Access to Udemy - An online learning and teaching marketplace with over 185,000 courses.
• Company culture that encourages creativity and innovation.