Principal Data Architect

A Day in the Life:

The Principal Data Architect provides technical leadership and hands on implementation for critical data subject areas and is responsible for the creation, maintenance and management of a data strategy that is aligned with business needs, reflects best practices and increases value for the business unit or organization. The position is required to interpret, use and apply their knowledge and expertise in data architecture to inform a range of projects.  The role is responsible for creating and maintaining data models and designing associated components related to data transformation, data quality, meta data management, reporting and analytics.  The role is expected to ensure that the data, integration and analytics architecture complies with overall portfolio standards and is designed for appropriate extensibility, security and quality. The Data Architect also serves as a subject matter expert informing data governance initiatives. The Principal Data Architect will also be responsible for mentoring and coaching a team of engineers to implement the data strategy.

The winning candidate will be committed, passionate, energetic, responsible and exhibit good judgement. They will have a collaborative spirit and ability to adapt working with other technologists, business leaders and the larger community of portfolio company architects.

The starting salary is $175k; commensurate with experience. 

What You’ll Do:

• Lead data architecture efforts to structure, integrate, govern, store, describe, model, and maintain data in the enterprise for optimal accuracy and usage 
• Lead and champion the deployment of a data and analytics platform that integrates varied sources of data and delivers incremental business value 
• Provide leadership, guidance and coordinate development and deployment of data and analytics related projects for critical data subject areas
• Understand current enterprise data quality capabilities and strive for continuous improvement
• Work with data governance committee to help define data related policies and procedures and their enforcement 
• Champion the use of visual modeling tools for defining data architectures
• Collaborate with wider portfolio community in sharing best practices, lessons learned. Constantly updates the data architecture based on evolving technologies and products.
• Review and provide guidance related to data security, retention and archival.
• Understand and communicate data requirements related to future infrastructure needs, working with other IT architects (in-house, partners and vendors) to develop an approach that fits the current and planned needs of the organization. 

What We’re Looking For:

Educational Background:

• Degree in related field or equivalent experience

Required Experience:             

• 12+ years of experience in Technology, ideally with Data & Analytic platforms
• 10+ years of experience with SQL
• 8+ years of experience with relational and dimensional database modelling
• 5+ years of experience with visual modelling tools using UML or Entity Relationship Diagrams
• 3+ years of experience as a senior individual contributor, team technical leadership or similar role
• Strong experience designing and deploying full stack data analytics platforms including the use of data warehouse technologies and BI and data visualization tools
• Strong experience with both real-time and batch pipelines-based data integration frameworks
• Experience in full life cycle of complex software deployment projects using structured methodologies including Agile/Scrum 
• Thoughtful practitioner of software engineering methodologies, frameworks and tools
• Strong experience architecting and deploying cloud enabled data solutions
• Experience creating and implementing Kimball (Star/Snowflake) models as well as either 3NF or Data Vault models

Preferred Experience:

• 3+ years experience leading cross-functional projects and initiatives
• 3+ years experience leading, mentoring and coaching development teams
• 3+ years modeling using Data Vault
• Exposure to NoSQL databases such as DynamoDB
• Exposure to PySpark or big data platforms such as DataBricks, AWS EMR, Hadoop
• Strong experience with AWS cloud data services
• Experience with ER/Studio, ERWin, or Sparx Enterprise Architect
• Development experience in Python, R, Java, or Scala
• Experience with Teradata, Oracle, DB2, and MS SQL Server

What’s In It For You: 

• Up to 40% off the base rate of any standard Hertz Rental   
• Paid Time Off
• Medical, Dental & Vision plan options
• Retirement programs, including 401(k) employer matching
• Paid Parental Leave & Adoption Assistance
• Employee Assistance Program for employees & family
• Educational Reimbursement & Discounts
• Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness
• Perks & Discounts –Theme Park Tickets, Gym Discounts & more

The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.   US EEO STATEMENT  At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture – and our success and reputation as a company.  Individuals are encouraged to apply for positions because of the characteristics that make them unique.  EOE, including disability/veteran