Merkle is a leading technology-enabled, data-driven customer experience management (CXM) company. For over 30 years, Fortune 1,000 companies and leading nonprofit organizations have partnered with us to build and maximize the value of their customer portfolios. With more than 9,600 smart, dedicated people in more than 50 offices around the world, we are still growing at a rate that outpaces the market, with 2019 net revenue of $1.1 billion.

As a Manager of Data Engineer, you will lead a data engineering team reporting to the Director, Data Engineering: developing new or enhancing existing data products as we build a meta data driven, big data solution, processing and transforming data to produce high quality data assets for our customers. You will work with passionate, Data Engineers to solve complex problems. You will collaborate with Operations and Delivery teams to provide market-focused data solutions to our customers. You will provide hands-on technical leadership, guiding and mentoring for your global team members, managing and assigning technical workloads, and ensuring we continuously improve and create high quality solutions. You will lead and grow a data engineering team that embraces change, is continuously improving, and rapidly builds, tests, enhances, and scales data transformational solutions that build incremental business value for our customers and partners.

Key Responsibilities:

• Create or assemble large data sets that meet functional and non-functional business requirements.
• Document requirements from End-users to development user stories, capturing all the details and acceptance criteria required
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data builds, and implementing data QA and reporting
• Coordinate with cross-functional teams, such as Identity and Data Science teams, to develop directional roadmaps, develop new data products, and manage priorities to meet business needs, ensuring each team has the data required
• Manage to a budget, including infrastructure, software, and cloud-based costs
• Provide hands-on daily mentoring to team members, offering analytical and troubleshooting expertise and guidance.
• Review designs, code, plans, strategies, etc. as well as assess data results to ensure we deliver high quality solutions
• Assess, recommend, and implement improvements in processes and procedures, evaluating new approaches, industry standards, new tooling, etc.
• Grow and lead motivated team members that produce high quality solutions and meet goals. Collaborate with Product Manage IT to create a working environment for development including infrastructure and agile processes.
• Leads the development of Proof of Concepts for new or updated data assets.
• Evaluate data build or release issues as required.
• Support integration with internal solutions

• Bachelor's degree in Mathematics, Statistics, Economics, Computer Science or other equivalent experience
• 10+ year experience with data engineering, data modeling and/or data processing
• 8+ years' experience in leading teams
• 8+ years' or equivalent experience in developing production grade systems, applications, or big data solutions
• 5+ years' experience with SQL, relational databases, and data warehouses
• Experience with Python
• Experience with Snowflake
• Experience in cloud base technologies (AWS, GCP, Azure)
• Experience working in Agile teams and CI/CD environments
• Experience with Linux; experience with Windows is a plus
• Experience with Jenkins, Airflow, or other orchestration tools
• Experience with code repositories such as Git, Bitbucket, Github, etc.
• Experience in Tableau is a plus

Skills:

• Strong analytic skills working with B2B, B2C, and Digital data assets for the purposes of customer experience marketing and analytics
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Manipulate, process and extract value from large disconnected datasets
• Familiarity with statistical concepts, modeling, and the ability to integrate data and analytics
• Inspire while instilling accountability and that meet business expectations
• Collaborate across organizations with all levels of leadership to develop plans, strategies, and establish priorities
• Communicate complex topics with ease and simplicity such that agreement or approval is obtained
• And recommend or apply ideas to resolve problems
• Improves team to attain a business goal
• Investigate and determine solutions to complex problems, offering options and recommendations to business or leadership for decisions
• Analyzes data and identifies data patterns and anomalies.
• Assesses and manages big data and data that scales.

The anticipated salary range for this position is $113,000-$174,500. Actual salary will be based on a variety of factors including relevant experience, knowledge, skills and other factors permitted by law. A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits also are available. For more information about dentsu benefits, please visit dentsubenefitsplus.com

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This is a remote role.

About dentsu 
Dentsu is the network designed for what’s next, helping clients predict and plan for disruptive future opportunities in the sustainable economy. Taking a people-centered approach to business transformation, dentsu combines Japanese innovation with a diverse, global perspective to drive client growth and to shape society www.dentsu.com. 

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.

Dentsu (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee of the Company, on the basis of age, sex, sexual orientation, race, color, creed, religion, ethnicity, national origin, alienage or citizenship, disability, marital status, veteran or military status, genetic information, or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and/or certain state or local laws. A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing an undue hardship on the Company. Please contact your recruiter if you need assistance completing any forms or to otherwise participate in the application process or to request or discuss an accommodation in connection with a job at the Company to which you are applying.