Director, Data Engineering
WWE
Stamford, CTThis was removed by the employer on 8/25/2021 8:21:00 AM PST
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Full Time Job
Open to Remote
As the leader and domain specialist for Data Platform Engineering this role will implement the Data Engineering Technology roadmap for WWE, specifically on designing and implementing the flow, transformation, and storage of consumer data. You will be key for evaluating new technologies and solutions, and will partner with BI, Data Governance, Data Analytics, and other technology teams across WWE.
Key Responsibilities:
• Build and manage petabyte scale DMP in the Hadoop ecosystem to evaluate, recommend, and implement technologies for data ingestion, ETL/ELT, and storage
• Work with business and technology partners to develop an enterprise data roadmap supporting key business and regulatory needs
• Have a strategy around the integration of disparate data systems, geared towards crafting enterprise data products that can be used across various lines of business
• Develop and implement a roadmap for centralized data hub and organization analytical capabilities by providing standardized platforms and tools to deliver data on-demand for accuracy, currency and usage
• Lead onshore and offshore teams handling the ingestion, processing, transformation, and loading of data onto the data platform
• Drive a test driven development approach across the data environments while using a CI/CD framework
• Develop standards for naming, describing, governing, managing, modeling, storing, cleansing, transforming, searching, and delivering all consumer data within WWE (which includes methodologies, tools, governance, and conventions)
• Work with the Data Analytics & Science team to translate business requirements to functional requirements and implement realistic technology solutions for the same
• On any given day, will want to roll up their sleeves and get into the technical weeds as the need arises
• Whiteboard solutions at the macro AND granular level and debate technical solutions with data architects and senior data engineers
• Examine existing designs and propose modern, meaningful, and efficient solutions
• Take a high level vision statement or high-level problem and deconstruct into a detailed plan for the department to execute against is crucial
• Work with development and support teams to provide alerting and monitoring frameworks for applications and infrastructure to ensure monitoring for system health and performance across the entire stack.
• Continuously re-assess the cloud compute capabilities to optimize environment, infrastructure, and get the best value and performance out of cloud assets
• Setup processes for user access to data and compute at scale while maintaining visibility into infrastructure uptime, performance and cost implications
• Understand how data relates to WWE's current operations and the effects that any future process changes will have on the use of data in the organization
• Work with team members and other technology groups to ensure all systems are scalable, optimized for performance, have full DR redundancy, and are secure
• Handle custom development of data integration for Big Data platform
• Continuously reassess data engineering cloud compute capabilities to optimize environment and infrastructure, as well as optimizing value and performance of database assets
• Provide 24/7 support for data operations
Qualifications:
• 8+ years of experience in Data Warehousing development and transformation
• 8+ years of experience architecting and supporting high-performance, highly-available, and scalable information management solutions
• 3+ years of experience with Python, Spark, Hive, Hadoop
• Experience with MLOPS platforms services like AWS Sagemaker, Docker Containers
• Proven expertise in relational and dimensional data modeling
• Experience in building data products using Cloud Technologies such as AWS Services, GCP Services, Redshift, EC2, Kinesis, SQS, SNS, S3, Elastic Search, Snowflake, MySQL etc.
• AWS Solution Architect Certification is a plus
• In depth knowledge in Big Data solutions and Hadoop ecosystem
• Understand PII standards, processes, and security protocols
• Familiarity with Data Anonymization concepts and technologies preferred
• Able to confidently express the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management
• Experience implementing and supporting operational data stores, data warehouses, data marts, and data integration applications
• Willing and able to work flexible hours and be ''on-call'' as needed
• Relevant college degree in Computer Science (or related technical field) preferred
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