Lead Data Engineer (Remote)

Published date Posted on Indeed on Nov 21, 2022 (8 d ago)
Position Purpose:

The Data Engineering Lead within Online and Marketing Analytics is responsible for overseeing the data and tools to support marketing's analytics and data science needs. This person owns the marketing data pipeline which brings the data from various data sources to supports the analysis, reporting, audience creation and data science needs of the marketing organization. This person will be responsible for the continued design, development and optimization of the marketing data pipelines & data prep infrastructure in a cloud environment. This position serves as Measure & Insights primary point of contact with Marketing & IT on these systems.

Roles & Responsibilities

  • Design, build and launch extremely efficient and reliable data pipelines to move data across a number of platforms including Data Warehouse, online caches and real-time systems.
  • Provide data architecture that is flexible, scalable, and consistent for cross-functional use, and aligned to stakeholder business requirements.
  • Manage workflow orchestration and demonstrate strength in data modeling, ETL development, and data warehousing
  • Build analytical tools to increase productivity of Data Analysts, Data Scientists and Marketers
  • Partner with BI, IT, Marketers and Data Scientists to understand data needs and assist them in accessing and leveraging key data sets
  • Define SLA and acceptable time lags by data source, define QA process, and socialize resolution process to ensure data is flowing accurately through data creation to our presentation layers
  • Help Marketing organization to become a 100% data driven organization by building a next generation data platform that brings accurate and timely data to the Marketers
  • Validate Data Engineering business data elements, organizational and business intelligence architecture designs for engineering functional areas from Dashboards, Data Lakes, Data Operations, ML - AI, and upstream/downstream intake and output processes
  • Designs and builds the data strategies and roadmaps necessary to serve marketing analytics and data science needs

Minimum qualifications:

  • BA/BS Degree in Computer Science, any Engineering discipline, Statistics, Information Systems or another quantitative field.
  • 6+ years of industry experience in data engineering, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
  • Experience leading a Data Engineering Team
  • Experience building and managing data pipelines and repositories in cloud environments such as Google Cloud, Microsoft Azure or AWS
  • Experience in Airflow is a must
  • Experience extracting/cleansing data and generating insights from large transactional data sets using SQL, R, Python, Spark on the cloud
  • Experience in Looker, Redshift, Apache Spark, Spark Structured Streaming, Spark SQL, Hive, HDFS, Kafka etc.
  • Experience with cloud computing with Dataproc, Databricks or similar technologies.
  • Strong verbal and written communications skills at all levels; ability to communicate complex customer behavior information to both functional partners and Executive Leadership
  • Open to idea exploration with strong problem-solving/analytical abilities
  • Demonstrated strength in creating partnerships and in building relationships with other functions and associates within the organization
  • Experience leading and presenting proof of values and business to leaders
Major Tasks, Responsibilities & Key Accountabilities:
  • 30% - Work with the manager, business stakeholders, analysts, team developers, IT, and other 3rd party partners to assist with determining approach and needs for analytics enablement
  • 20% - Self-driven to communicate effectively across broad range of technical and business savvy stakeholders to assure alignment on solution and strategy/timeline to deploy
  • 15% - Drive effective Agile project delivery protocols to assure we gather and surface reliable, actionable enterprise level analytics
  • 20% - Ensure the team comprehends and applies the established processes and standards and mentor team on development
  • 5% - Provide status reports to Manager and review boards on complex development projects
  • 10% - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs

Nature and Scope:
This position typically reports to the Manageror Seniot Manager
This position has 0 Direct Reports

Environmental Job Requirements:

Environment:
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Travel:
Typically requires overnight travel less than 10% of the time.
Standard Minimum Qualifications:
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.

Education Required:
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Years of Relevant Work Experience:
5 years

Physical Requirements:
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Preferred Qualifications:
  • Working knowledge of Microsoft Office Suite
  • Working knowledge of presentation software (e.g., Microsoft PowerPoint)
  • Demonstrated ability to collaborate and work effectively with cross-functional teams
  • Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences
  • Ability to negotiate, handle complaints, settle disputes, and resolve grievances with both internal and external customers
  • Excellent written and verbal communication skills

Knowledge, Skills, Abilities and Competencies:
  • Action Oriented
  • Business Insights
  • Decision Quality
  • Manages Ambiguity
  • Tech Savvy
  • Manages Complexity
  • Communicates Effectively
  • Customer Focus
  • Strategic Mindset

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