Manager, Data Engineering

Company Description:

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.

Job Description:

As a Manager of Data Engineer, you will lead a data engineering team: 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, goal-oriented 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, coaching, and mentoring for your global team members, managing and assigning technical workloads, and ensuring we continuously improve and deliver high quality solutions. You will lead and grow a high performing data engineering team that embraces change, is continuously improving, and rapidly builds, tests, enhances, and scales data transformational solutions that drive incremental business value for our customers and partners.

Key Responsibilities:

• Create or assemble large, complex 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 coaching and mentoring to team members, offering strong analytical, problem solving, and troubleshooting expertise and guidance
• Review designs, code, plans, strategies, etc. as well as assess data results with a high attention to detail 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, high performing team members that produce high quality solutions, meeting goals and delivering results
• Collaborate with Product Management and IT to create and maintain a strong working environment for development including infrastructure and agile processes
• Leads the development of Proof of Concepts for new or updated data assets
• Triage data build or release issues as required
• Support integration with internal solutions

Qualifications:

• 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 and implementing 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
• Able to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Able to build processes supporting data transformation, data structures, metadata, dependency and workload management
• Demonstrated ability to manipulate, process and extract value from large disconnected datasets
• Demonstrated strong organizational, leadership, and communication skills
• Familiarity with statistical concepts, modeling, and the ability to integrate data and analytics

• Able to motivate and inspire while instilling accountability and delivering results that meet business expectations
• Able to collaborate across organizations with all levels of leadership to develop plans, strategies, and establish priorities
• Able to communicate complex topics with ease and simplicity such that agreement or approval is obtained
• Able to learn new emerging technologies quickly and recommend or apply innovative ideas to resolve problems
• Able to perform under pressure and optimize team to attain a business goal
• Able to manage ambiguity, asking questions to gain clarity and understanding
• Able to investigate and determine solutions to solve complex problems, offering options and recommendations to business or leadership for decisions
• Able to analyze data, with a high attention to detail, and identify data patterns and anomalies
• Able to assess and manage big data and data that scales

Additional Information:

The anticipated salary range for this position is $113,000-$174,500. Salary is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits also are available. For more information regarding dentsu benefits, please visit www.dentsubenefitsplus.com.

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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.