What you'll do

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 is an exciting opportunity to be part of a driven team and continue to build experience and expertise by solving modern business problems and having exposure to cutting edge technologies powering Docusign. We are looking for someone who loves to solve important business problems, has a curiosity for technology, and isn't afraid to challenge the status quo.

This position is an individual contributor role reporting to the Sr. Manager, Data & Analytics.

Responsibility

• 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

Job Designation

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

What you bring

Basic

• Bachelor's degree in Computer Science, Information Systems, or a related field
• Master's degree
• Experience with database structure principles, data modeling, and metadata management
• 12+ years of proven experience as a Data Architect, Data Engineer, or similar role with a focus on data warehousing and marketing data analytics
• Experience 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 with CRM systems (e.g., Salesforce, Iterable, Eloqua) and their integration with data warehouses
• Experience with a variety of technologies: SQL, Bash, Python, Java, Spark, AWS, DataOps, DevSecOps, data stacks like Airflow, dbt, and data stores like Snowflake, Aurora
• Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR)
• Experience addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives
• Experience with analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data
• Experience managing projects effectively, planning tasks, setting priorities, and meeting deadlines in a fast-paced environment

Preferred

• Excellent analytical and problem-solving skills, with a proven ability to align complex data architecture decisions with organizational AI/ML business goals
• Strong communication and collaboration skills to work effectively across team boundaries

Wage Transparency

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Based on applicable legislation, the below details pay ranges in the following locations:

California: $186,100.00 - $300,550.00 base salary

Washington State: $178,900.00 - $262,825.00 base salary

This role is also eligible for the following:

• Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
• Stock: This role is eligible to receive Restricted Stock Units (RSUs).

Global benefits provide options for the following:

• 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

Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.

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