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Lead Marketing Data Architect

Lead Marketing Data Architect

DocuSignSan Francisco, CA, United States
6 days ago
Job type
  • Full-time
Job description

Company Overview

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

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 position is an individual contributor role reporting to the Sr. Director, Data Architecture & Engineering.

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

Qualifications

Basic

  • 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
  • Preferred

  • 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
  • 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.

    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 : $177,900.00 - $287,425.00 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
  • Life at Docusign

    Working here

    Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal.

    We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live.

    Accommodation

    Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.

    If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.

    Equal Opportunity Employer

    It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.

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