Data Engineering Architect (Growth Platform Architect)

Key Responsibilities

• Platform Integration and Management: Architect and implement scalable data pipelines to move data from our data warehouse into various platforms, enhancing our Lifecycle communications and performance marketing capabilities.
• Data Architecture: Design robust, scalable data architectures that support the needs of multiple stakeholders, ensuring data reliability, efficiency, and privacy.
• Data Governance: Participate in data governance discussions, advocating for best practices in data management, security, and compliance.
• Collaboration and Leadership: Work closely with product managers, marketing teams, BSA organization, and engineering teams across applications and infrastructure to ensure seamless integration and effective use of data platforms.
• Technology Expertise: Stay abreast of and advise on technologies relevant to data architecture, pipeline construction, and platform integration.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Deep background in data engineering, with proven experience in architecting and implementing data pipelines and architectures.E
• xpertise in SQL and familiarity with programming languages such as Python or Java.
• Experience with cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery) and data integration tools (e.g., Airflow, Stitch, Fivetran).Strong understanding of data governance, privacy, and compliance issues.
• Strong track record of leading large projects with cross-functional stakeholders.
• Excellent problem-solving, organizational, and communication skills.

Desirable Skills

• Experience with marketing platforms like Google and Iterable.
• Knowledge of lifecycle communications strategies and performance marketing.
• Experience in a fast-paced, growth-focused tech environment.