Lead Marketing Data Architect

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.

 

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

• 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 project