Data Architect
HoneyBook
HoneyBook is seeking a Data Architect to own data persistence and architecture across Product, Platform, and Data teams. You will design, govern, and evolve data models, databases, and data-related systems to ensure scalability, reliability, and security for data storage and retrieval.
Qualification
- 8+ years of experience in software engineering.
- Deep expertise in data persistence, data modeling, and data architecture.
- Proficiency with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, Redis).
- Experience with data warehouse design and building data pipelines.
- Ability to define, govern, and communicate data architecture standards and best practices across teams.
- Proven track record leading cross-team data architecture initiatives.
- Strong focus on data quality, integrity, and governance across production systems.
- Excellent documentation and communication skills for data models and architectural decisions.
- Knowledge of data security, privacy, and compliance considerations.
Responsibility
- Be the primary point of contact and subject matter expert for data persistence across the engineering organization.
- Define and govern the data architecture strategy, standards, and best practices for relational, NoSQL, and data warehouse systems.
- Partner with engineering teams from product, platform, and data groups to design and implement scalable data models for new and existing services.
- Lead the design and optimization of the organization’s data flows to ensure data moves efficiently, consistently, and with high quality across all systems and domains.
- Evaluate and recommend new technologies and data solutions to meet evolving business needs.
- Drive initiatives to improve data quality, consistency, and integrity across all production systems, from ideation to hands-on execution.
- Establish, maintain, and communicate documentation for all data models and architectural decisions.
