Remote Data Lead

Summary

Join Apply Digital as a Data Lead to spearhead data initiatives and drive team performance. The successful candidate will possess deep expertise in data engineering, MarTech, and analytics solutions, with a strong focus on Customer Data Platforms (CDP) and data warehouse technologies.

Requirements

• A Bachelor's degree in Computer Science, Information Systems, or a related field
• At least 7 years of experience in data engineering, analytics or measurement with a proven track record of leading data teams
• Expertise in Analytics solution, SQL, ETL, data warehousing technologies, and extensive hands-on experience with Cloud services
• Demonstrated experience in data modeling, analysis techniques, and implementing data management best practices
• Experience with data activation on media platforms using data integrations and Customer Data Platforms (CDP)
• Excellent communication and problem-solving skills, with the ability to lead client-facing discussions and presentations
• Previous experience in a client-facing role, with a strong understanding of Data Analytics practices
• Experience in data science or advanced analytics

Responsibilities

• Lead and mentor a team of data resources in designing, creating, and maintaining scalable data pipelines, architectures, and analytics solutions
• Integrate data with media platforms by leveraging Customer Data Platforms (CDP) to enhance client capabilities
• Liaise with internal teams, clients, and stakeholders as the primary data engineering liaison to define project data requirements and technology stacks
• Translate complex business requirements into technical specifications, ensuring the team's solutions align with client needs
• Foster a collaborative environment that encourages innovation and the adoption of data engineering and analytics best practices
• Ensure the team's solutions utilize Cloud services effectively by optimizing data architectures for performance and scalability
• Champion the development and implementation of data architecture frameworks, standards, and principles, covering modeling, metadata, security, and reference data
• Oversee data security and compliance measures to ensure all data handling aligns with company policies and regulations
• Promote continuous learning within the team, staying ahead of emerging technologies and methodologies in data engineering and analytics

Benefits

• Great projects: Broaden your skills on a range of engaging projects with global brands and important work for causes we care about
• An inclusive environment: We’re truly committed to building a culture where diversity is celebrated and everyone feels welcome. So come as you are
• Learning opportunities: We offer generous training budgets, including partner tech certifications, custom learning plans, workshops, mentorship, and peer support
• Generous vacation policy: Work-life balance is key to our team’s success, so we offer ample time away from work to promote overall well-being
• Customizable benefits: Tailor your extended health and dental plan to your needs, priorities, and preferences
• Flexible work arrangements: We work in a variety of ways, from remote, to in-office, to a blend of both