Senior Martech Solutions Architect [SK-12192]

About the role

Join a leading agency renowned for its innovative approach and commitment to delivering exceptional results. This pivotal role offers the chance to directly influence strategic decision-making by ensuring the integrity and accessibility of critical data, empowering teams to transform raw information into actionable insights. As a backend data expert, you will architect robust data solutions, set up seamless integrations, design resilient data pipelines, and meticulously cleanse and manipulate data for storage across various environments. Your work will enable strategy teams to confidently leverage clean, reliable data, turning complex information into informed recommendations for clients.

Responsibilities

• Architect and implement seamless data integrations from diverse sources.
• Design, build, and maintain robust data pipelines to ensure efficient data flow.
• Execute meticulous data cleansing and manipulation processes to guarantee accuracy and standardization.
• Manage the secure and efficient storage of data across various environments, including cloud-based data warehouses and spreadsheets.
• Ensure data quality and accessibility to support comprehensive reporting and advanced analytics functions.
• Leverage expertise across a range of media and analytics platforms.
• Configure triggers, events, and tags within leading tag management systems to ensure precise data capture.
• Collaborate closely with internal teams to understand data requirements and deliver reliable, high-quality data sets.

Requirements

• Proven proficiency in Structured Query Language (SQL) and Python for advanced data management and manipulation.
• Extensive experience utilizing Application Programming Interfaces (APIs) for robust data integration.
• Familiarity with cloud-based platforms for designing and implementing data integration workflows.
• Hands-on experience working with diverse cloud-based data storage environments.
• Comprehensive knowledge of leading media, analytics, and tag management platforms.
• Demonstrated ability to work independently, manage an ad-hoc workload effectively, and contribute approximately 10-20 hours per week.
• Capability to work with your own equipment; specific projects may require access to virtual desktop infrastructure (VDI) or client-provided email.

Nice-to-Have Qualifications

• Experience with a specific data manipulation tool (training provided for the right talent).
• Familiarity with various Customer Relationship Management (CRM) and marketing automation platforms.

Benefits

• Health benefit contributions.
• Retirement plans with match.
• Flexible spending accounts.