Lead Data Architect
Role details
Job location
Tech stack
Job description
- Drive data architecture decisions that impact product design, application functionality, and technical operations and processes.
- Collaborate with cross-functional teams to understand data needs and translate them into actionable solutions.
- Design and maintain data architecture frameworks that support business objectives and scalability.
- Map data requirements to downstream systems, facilitating efficient data flow and utilization.
- Develop and implement strategies for performing data completeness checks, ensuring data integrity and quality.
- Evaluate new and current technologies using existing data architecture standards and frameworks.
- Serve as a function-wide subject matter expert in one or more areas of focus
- Drives data architecture decisions that impact product design, application functionality, and technical operations and processes
Requirements
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands on experience with data modeling, database design, and data warehousing concepts
- Develop, optimize, and maintain conceptual, logical, and physical data models to support migration requirements and ensure data integrity
- Establish and enforce data quality standards, perform data profiling, and collaborate with stakeholders to resolve data inconsistencies or issues
- Create and maintain comprehensive documentation for data models, mapping specifications, and migration processes, ensuring compliance with data governance and regulatory standards.
- Ability to tackle design and functionality problems independently with little to no oversight
- Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Strong communication and collaboration skills to work effectively with cross-functional teams
Preferred qualifications, capabilities, and skills
- Develop secure, high-quality production codes and reviews and debugs code written by others
- API's, Micro Services frameworks, Data Platforms, Data Streaming, and Stream Processing techniques using Kafka, Flink, Apache Iceberg.
- AWS certification including Database Storage, Analytics, Machine Learning, and Application Integration Services
- Experience with Snowflake and Databricks is a plus
Benefits & conditions
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.