Director, Data Engineering- Remote

Company Description

Dentsu/Merkle is a modern marketing solutions company. Our mission is to help clients navigate, progress and thrive in a world of change. Businesses rely on our integrated network of agencies and specialized practices to champion meaningful progress through creative, media, commerce, data and technology. Part of Dentsu Group, our global network comprises 66,000 diverse people in 143 countries, who are dedicated to teaming for growth and good. Some of our award-winning agencies include 360i, Carat, dentsu mcgarrybowen, DEG, dentsuX, iProspect and Merkle. Follow us on Twitter @DentsuUSA and visit dentsu.com/us.

We are champions for meaningful progress and we strive to be a force for good—for our people, for our clients, for the industry and for our society. We keep our people at the center, creating space for growth, understanding and learning so they can thrive. We embed diversity, in our mindset, in our solutions and in our teams to empower an inclusive, equitable and culturally fluent environment. Building this culture within our teams makes us better collaborators with each other and with our clients, driving better outcomes for all.

Why Join Us?

Merkle is the leader in data-driven performance marketing. We help brands achieve tremendous competitive advantage. We thrive because we employ the best in the business. Merkle's energy lives in everything we do, and it shows in the way we deliver to our clients. Additionally, we are recognized as top global partners by some of the world's leading technology firms including Adobe, Google, AWS, Salesforce, and more.

Job Description

We are seeking a Director, Data Engineering who excels at creating, enhancing, maintaining, and managing meta data driven, big data processing platforms. You will work with passionate, goal-oriented Data engineers and QA engineers to solve complex problems. You will collaborate with Data Management, Operations, and Delivery teams to provide marketing focused data solutions to our customers. You will provide hands on technical leadership, guiding, coaching, and mentoring global team members, leading major projects, assigning technical workloads, and ensuring we continuously improve and deliver high quality solutions that drive incremental business value for our customers. You will lead and grow a team that embraces change, solves problems, continuously improves, and is passionate about innovation.

Qualifications

Key Responsibilities:

• Able to analyze, standardize, classify, organize, and manage data from different sources, following a structured data management process and industry standards and best practices
• Collaborates with Product Management and cross organizational leaders to produce and maintain a directional roadmap and manage priorities in alignment with business needs
• Evaluates, determines, obtains approval, and manages to a budget, including infrastructure, software, and cloud-based costs
• Provides hands on daily coaching and mentoring to team members as they develop: strategies, plans, designs, code, scripts, SQL, etc., ensuring standards and best practices are followed
• Able to review strategies, plans, designs, code, etc. and analyze data results with a high attention to detail to ensure we deliver high quality solutions
• Continuously assess, recommend, and implement improvements, driving innovation, evaluating new approaches, industry standards, design patterns, new tooling, etc.
• Able to grow and lead a motivated, high performing team that produces high quality solutions, meeting goals, and delivers results on time
• Collaborates with IT to create and maintain environments for Development and QA
• Provides strong analytical, problem solving, and troubleshooting expertise and guidance

Experience Required:

• Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or other equivalent experience
• 8+ years' experience in leading teams
• 8+ years' or equivalent experience in developing and implementing production grade big data pipeline solutions or systems
• 5+ years' experience with SQL, relational databases, and data warehouses
• 3+ years' experience with Python
• 3+ years' experience in cloud base technologies (AWS, GCP, Azure)
• 3+ years' experience working in Agile teams
• 2+ years' experience with Snowflake
• Experience with Bash, Korn shell or similar scripting
• Experience with Linux; experience with Windows is desired
• Experience with Jenkins, Airflow, or other orchestration tools
• Experience with code repositories such as Git, Bitbucket, Github, etc.
• Some experience in Tableau is a plus