Manager, Data Engineering (Remote)

Company Description

Merkle is a top technology-enabled, data-driven customer experience management (CXM) company. For over 30 years, Fortune 1,000 companies and prominent nonprofit organizations have partnered with us to build and boost the value of their customer portfolios. With more than 9,600 intelligent, committed individuals in over 50 offices worldwide, we continue to grow at a pace that surpasses the market, with a net revenue of $1.1 billion in 2019.

Job Description

As a Manager of Data Engineering, you will head a data engineering team answering to the Director of Data Engineering: developing new or enhancing existing data products as we create a metadata-driven, large data solution, processing and transforming data to generate high-quality data assets for our clients. You'll cooperate with keen Data Engineers to resolve complex issues. You'll team up with Operations and Delivery teams to provide market-centered data solutions to our customers. You will provide hands-on technical leadership, guidance, coaching, and mentoring for your global team members, managing and assigning technical tasks, and ensuring we continuously improve and create high-quality solutions. You'll lead and grow a data engineering team that embraces change, is always improving, and rapidly constructs, tests, enhances, and scales data transformation solutions that increase business value for our clients and partners.

Key Responsibilities:

• Create or compile large, complex data sets that satisfy functional and non-functional business needs
• Document requirements from end-users to development user stories, capturing all necessary details and acceptance criteria
• Identify, design, and implement internal process enhancements: automating manual processes, optimizing data builds, and implementing data QA and reporting
• Coordinate with interdisciplinary teams, such as Identity and Data Science teams, to develop strategic roadmaps, create new data products, and manage priorities to meet business demands, ensuring each team has the necessary data
• Manage a budget, which includes infrastructure, software, and cloud-based costs
• Provide daily hands-on coaching and mentoring to team members, offering strong analytical, problem-solving, and troubleshooting expertise and guidance
• Review designs, codes, plans, strategies, etc., as well as assess data results to ensure we deliver high-quality solutions
• Evaluate and implement improvements in processes and procedures, considering new methods, industry standards, new tools, etc.
• Grow and lead a motivated team that produces high-quality solutions, achieving targets and delivering results
• Collaborate with Product Management and IT to create and maintain a robust work environment for development which includes infrastructure and agile processes
• Lead 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+ years of experience with data engineering, data modeling and/or data processing
• 8+ years' experience of team leadership
• 8+ years' or equivalent experience of 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-based 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 with Tableau is a bonus

Skills:

• Strong analytical skills working with B2B, B2C, and Digital data assets for customer experience marketing and analytics
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify improvement opportunities
• Develop processes supporting data transformation, data structures, metadata, dependency and workload management
• Manipulate, process and extract value from large disconnected data sets
• Demonstrated organizational and communication skills
• Familiarity with statistical concepts, modeling, and the ability to integrate data and analytics
• Inspire while instilling accountability that meets business expectations
• Collaborate across organizations at all levels of leadership to develop plans, strategies, and establish priorities
• Communicate complex topics with simplicity and ease such that agreement or approval is obtained
• Recommend or implement ideas to solve problems
• Improve team to achieve a business goal
• Able to manage ambiguity, asking questions to gain clarity and understanding
• Investigate and propose solutions to complex problems, offering options and recommendations to business or leadership for decisions
• Analyze data and identify data patterns and anomalies
• Assess and manage large data and scalable data

Additional Information

The anticipated salary range for this position is $113,000-$174,500. The actual salary will be determined by factors like relevant experience, knowledge, skills, and other legally allowable factors. We also offer a range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits. For more information about dentsu benefits, please visit dentsubenefitsplus.com

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About dentsu

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

We champion meaningful progress and aim to be a force for good—for our people, for our clients, for the industry and for society. We keep our people at the center, creating space for growth, understanding, and learning so they can excel. We embed diversity in our mindset, services, and teams to foster an inclusive, equitable, and culturally fluent environment. Building this culture within our teams enhances collaboration within our teams and with our clients, driving better outcomes for all.

Dentsu (the "Company") is committed to a policy of Equal Employment Opportunity and does not discriminate against an applicant or employee of the Company based on 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.

This role is remote.

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