Dow Jones Technology Jobs

Technology

Come help us revolutionize digital media! Are you a self starter who is energized by new challenges and enjoys a sense of accomplishment? Do you enjoy working with dynamic people in a highly collaborative, team environment? If so we want to speak with you.

Dow Jones is currently hiring “get-things-done” technologists with all levels of experience to help reinvent the way we develop products and deliver best in class digital solutions to all of our customers.

reach out to us at <a href="mailto:TalentResourceTeam@dowjones.com" target="_blank">TalentResourceTeam@dowjones.com </a>. Please put “Reason

Job Information

Dow Jones VP, Data Engineering in NEW YORK, New York

Job Description:

Dow Jones is seeking a VP of Data Engineering to lead and manage our Data Engineering team and develop their capabilities. Reporting to the Chief Data Officer, you will work closely with product, marketing, membership, advertising, and editorial groups to provide data platform capabilities allowing the company further effective, data-driven decisions. Candidates for this role will need demonstrated experience in large-scale, cloud-based technologies and data architectures. A strong focus on data quality is also required for success in this role.

Responsibilities

  • Recruit, lead, and mentor a world-class data engineering team

  • Oversee the architectural and technical design of Dow Jones’ data systems, applications, and processes, creating innovative data-driven insights

  • Manage and extend existing cloud data lakes with multi-system data; grow the footprint of data captured; ensure that data pipelines and resulting datasets are well-maintained and accurate

  • Set data standards and ensure that all Dow Jones products contain complete, accurate, and detailed measurement throughout the customer journey. Be an expert in the data structure of both raw and processed datasets within our ecosystem

  • Grow Dow Jones’ data maturity, leveraging modern data technologies and building advanced analytics capabilities within the organization.

  • Lead and organize teams that can effectively maintain and develop data platforms on the petabyte scale

  • Work with stakeholders to define priorities and new tasks for the data engineering team

  • Identify potential blockers and dependencies of data engineering activities with other teams

  • Develop trust with technical and non-technical stakeholders through communication and collaboration

  • Propose new strategies to improve the stability of the real-time pipelines and batch processes

  • Propose and ensure delivery of data platform capabilities for the enterprise

  • Keep track of tech-debt in data engineering so it can be addressed in tandem with new development

  • Produce operational metrics to measure throughput and to build scale within a growing organization

  • Drive the technical solution for providing appropriate data governance, observability, and quality.

  • Work with your leadership team to communicate, properly resource, and plan strategic roadmaps

  • Attract and retain the high-caliber Data Engineering talent

  • Manage current vendors and selection of new vendors

  • Build and model a culture of excellence, inclusivity, and innovation

Qualifications

  • 10 years experience with large-scale, consumer product data engineering

  • 7+ years leading multi-layered teams

  • Extensive experience designing, building, and evaluating analytical datasets & overseeing enterprise analytics, BI, and marketing tools

  • Demonstrated ability to grow high-performing teams

  • Be a skilled collaborator who can build relationships & influence internal teams and

stakeholders at all levels of the organization

  • Experience with CPD, digital marketing and/or digital advertising datasets

  • Deep knowledge of the cloud computing and data engineering best practices

  • Hands on and working experience with Agile development methodology

  • Experience managing globally distributed teams

  • Experience with CPD, digital marketing and/or digital advertising datasets a plus

  • ETL experience with cloud-based or traditional tools needed

  • Multi-cloud experience

  • Experience in SQL, Python and / or Scala

  • Strong written and oral communications needed

Dow Jones , Making Careers Newsworthy

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets .

Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, please reach out to us at TalentResourceTeam@dowjones.com. Please put “Reasonable Accommodation" in the subject line.

Business Area: TECHNOLOGY - PRODUCT DEVELOPMENT

Job Category: Data/Content Group

Union Status:

Non-Union / No clear and likely Internal Candidate (Employee Only) has been identified

Req ID: 34089

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