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Big Data Architect

REQ ID:  5814
LOCATION: 

Secaucus, New Jersey, US, 07094

Position Summary:

As a, Data Architect, you will lead NBA's data efforts across all products and lines of business. You will help define our data warehouse transition to the cloud from our current on-premise environment including architecting data pipelines, streamlining new dev/ops processes and providing guidance in quality engineering best practices. You are a pioneer, building new capabilities that will help unlock new possibilities for our businesses. You will coordinate with external and internal resources to be a part of a Data Engineering practice. You will play a fundamental role in achieving our ambitious growth objectives. You must be comfortable switching between multiple projects, working with both business teams and technology teams to translate business requirements into finished product. You possess strategic vision and tactical mastery and combine it with an entrepreneurial spirit to get it done. You will collaborate closely with stakeholders across the company to design innovative solutions and balance challenging priorities and resource demands. We're looking for someone who welcomes challenges and is hyper-focused on delivering exceptional results to internal business customers while creating a rewarding team environment.This position reports into the Head of Data Engineering, IT

 

Major Responsibility:

  • Architect data solutions that will enable the product engineering team to drive personalized fan experiences
  • Develop an overarching enterprise data strategy for providing fan attributes quickly to external and internal facing customers
  • Understands business needs and develop solutions that delight consumers and customers
  • Understands Agile artifacts and develops applications based upon business priority
  • Collaborate with project partners to ensure all requirements are met.
  • Handles relationships with end-user communities 
  • Interacts regularly with users to gather feedback, listen to their issues and concerns, recommend solutions
  • Provide technical design for building out critical data lake capabilities
  • Proven experience building out large scale big data implementations using No SQL technologies Architect No SQL and Graph DB solutions to connect fan data to assist product engineering teams to drive new fan experiences
  • Design data lake capabilities to support third-party sandboxes, providing secure access to targeted data upon which our external partners can build analytical models.
  • Design new cloud data warehouse in Azure
  • Plan, design and oversee migration of on-prem data ecosystem (EDW, BI, Reporting, ETL) to Cloud-native architecture and services
  • Architect the data lake to enable new analytics capabilities
  • Assess business and technical needs, and recommend software, tools and services
  • Plan and oversee the migration of our on-prem data warehouse to the cloud, ensuring best practices around cloud-native design and security are implemented.
  • Demonstrate your technical abilities and contribute to our overall architecture Help define and implement the
  • Enterprise Data Architecture for NBA and help implement it in multi-functional alignment with the Data teams that exist across functions like NextGen, Marketing, Finance, HR etc
  • Provide leadership during application design and development for highly complex or critical machine learning projects across numerous lines of business and shared technology
  • Ensure cross-collaboration with sister teams in other geographies
  • Ensure alignment to enterprise architecture and usage of enterprise platforms when delivering projects
  • Partner with your peers within the organization and build multi-functional alignment

 

Required Skills/Knowledge:

  • Highly technical background and experience in architecting secure, enterprise-scale, cloud-native data solutions including data lake, EDW, and analytics
  • Advanced Education in Statistics or Mathematics would be a plus
  • 5+ years experience in architecting data-driven customer personalized experiences, where customer attributes and past behaviors are used to drive unique experiences per customer
  • 5+ years of experience in developing BigData and/or machine learning solutions
  • 5+ years of experience in building data pipelines using Azure tools like Azure Data Factory and Azure Databricks
  • 5+ year of experience in architecting and developing ETL and ELT pipelines using SQL and MSFT SSIS
  • 5+ years of experience in a highly regulated industry
  • 5+ Years of experience defining data architectures 2+ Years of experience leading product engineering teams
  • Experience with the full Azure stack Experience with SQL, NoSQL, BigData and Graph Technologies along with Programming languages like R, Python, Kafka, Storm etc
  • Experience building microservices
  • Background in agile SW development and Scaled Agile Frameworks
  • A true believer in measuring success based on working software and in quick prototyping Someone with an iterative approach, drive to move fast and think big Ability to be versatile and handle multiple projects and re-prioritizations
  • Possess the ability to influence others, implement change, and standardize processes in a complex business environment
  • A passion for mentoring and growing the potential of others
  • Experience with Architecting Applications (e.g. Design Patterns, distributed applications etc.) with the aim of reuse
  • Superb communication skills (both written and verbal) Great teammate - should be ready to go beyond to help immediate team and do not be averse to not shy away from asking for help if needed. Ability to translate ideas into solutions based on user and business needs
  • Eagerness to learn new technologies and bring new ideas to the table

 

Education:

Bachelors Degree or equivalent experience . Masters would be a plus.


Nearest Major Market: New York City
Nearest Secondary Market: Newark

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