Lead Marketing Data Architect

Docusign • San Francisco, CA

90d • $177,900 - $287,425

About The Position

We are looking for a skilled and experienced Marketing Data Architect to join our Enterprise Data Warehousing Team. The successful candidate will play a critical role in designing, developing, and maintaining the data architecture specifically for marketing analytics and insights. This role focuses on creating a robust infrastructure that supports large-scale data collection, storage, and analysis, helping marketing teams make informed decisions. This position is an individual contributor role reporting to the Sr. Director, Data Architecture & Engineering.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Experience with database structure principles, data modeling, and metadata management.
• 12+ years proven experience as a Data Architect, Data Engineer, or similar role with a focus on data warehousing and marketing data analytics.
• Experience in designing data platforms for large-scale data and diverse data architectures, including warehouses, lake houses, and integrated data stores.
• Experience in marketing data and analytics, including attribution models, propensity models, segmentation, contact customer databases, and campaign tracking.
• Experience in CRM systems (e.g., Salesforce, Iterable, Eloqua) and their integration with data warehouses.
• Experience in a variety of technologies: SQL, Bash, Python, Java, Spark, AWS, DataOps, DevSecOps, data stacks like Airflow, dbt, and data stores like Snowflake, Aurora.

Nice To Haves

• Master’s degree.
• Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR).
• Proficient in addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives.
• Exposure to analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data.
• Excellent analytical and problem-solving skills, with a proven ability to align complex data architecture decisions with organizational AI/ML business goals.
• Ability to manage projects effectively, plan tasks, set priorities, and meet deadlines in a fast-paced environment.
• Strong communication and collaboration skills to work effectively across team boundaries.

Responsibilities

• Design and develop data models and database architecture specifically tailored for marketing data analytics and reporting within a data warehousing environment.
• Work closely with marketing teams to understand their data needs and translate business requirements into technical specifications.
• Implement and maintain scalable and efficient data warehouses and data marts that support various marketing functions, including campaign management, customer segmentation, and ROI analysis.
• Optimize data flows and architecture to improve data accuracy, accessibility, and quality, ensuring data is available for real-time and batch processing.
• Develop and enforce best practices and standards for data modeling, data extraction, and data loading into the data warehouse.
• Collaborate with IT and business stakeholders to ensure that the data architecture supports the goals of the marketing team while aligning with the overall business strategy.
• Prepare and maintain documentation of data architectures, configurations, and processes.
• Stay up-to-date with industry trends and advancements in data warehousing and marketing technologies to continuously improve the data infrastructure.

Benefits

• Paid Time Off: earned time off, as well as paid company holidays based on region.
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement.
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment.
• Retirement Plans: select retirement and pension programs with potential for employer contributions.
• Learning and Development: options for coaching, online courses and education reimbursements.
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees