Chief Data Architecture Specialist

Job Title

We are seeking a skilled Data Engineer to deliver, maintain and evolve our data platform. This mission aims to empower customers by providing access to their data through reports powered by Wellness and Fitness Services.

As a seasoned Data Engineer with strong technical leadership abilities, you will contribute to architectural decisions while mentoring developing engineers.

Your key responsibilities include:

• Leading the design and implementation of scalable efficient and robust data architectures to meet business needs and analytical requirements.
• Collaborating with stakeholders to understand data requirements building subject matter expertise and defining optimal data models and structures.
• Designing and developing data pipelines ETL processes and data integration solutions for ingesting processing and transforming large volumes of structured and unstructured data.
• Optimizing data pipelines for performance reliability and scalability.
• Overseeing the management and maintenance of databases data warehouses and data lakes to ensure high performance data integrity and security.
• Establishing and enforcing data quality standards validation rules and data governance practices to ensure data accuracy consistency and compliance with regulations.
• Driving initiatives to improve data quality and documentation of data assets.
• Providing technical leadership and mentorship to junior team members assisting in their skill development and growth.
• Leading and participating in code reviews ensuring best practices and high-quality code.
• Implementing monitoring systems and practices to track data pipeline performance identify bottlenecks and optimize for improved efficiency and scalability.
• Collaborating with stakeholders to understand reporting requirements and providing support in developing interactive dashboards using Power BI for data visualization.
• Communicating effectively with non-technical stakeholders to translate technical concepts into actionable insights and business value.
• Maintaining comprehensive documentation of data pipelines workflows and data models adhering to best practices in data engineering and ensuring compliance with organizational standards.

To be successful in this role you should have:

• 7+ years of experience in a data engineering role.
• Bachelor's degree in computer science Information Technology or a related field.
• Experience in data management best practices including demonstrated experience with data profiling sourcing and cleansing routines utilizing typical data quality functions involving standardization transformation rationalization linking and matching.
• Proficient in SQL and Python with the ability to translate complexity into efficient code.
• Experience working on different types of databases and data warehouse technologies.
• Experience with Azure Data Factory and/or Apache Airflow.
• Effective communication skills (verbal and written) in English.
• Genuine passion about technology and solving data problems.
• Structured thinking with the ability to break down ambiguous problems and propose impactful data modeling designs.
• Strong leadership problem-solving and decision-making skills.
• Ability to use data to inform decision making and drive outcomes.
• Ability to understand document and convert business requirements into data models.
• Ability to work effectively with a remote team across multiple time zones and in an Agile environment.
• Ability to mentor junior team members.
• Driven and self-motivated with excellent organizational skills.
• Comfortable learning innovative technologies and systems.