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About the Role

Responsible for translating the vision, goals, and business requirements for a data analytics project or product into technical specifications. Designs fit-for-purpose data solutions using appropriate architectural design patterns that support business needs. Provides direction for data architecture design, planning, and development, and guides future updates and enhancements. Possesses a strong combination of IT, data governance, analytics, and creative skills. Plays a pivotal role in extending the next generation of the data ecosystem and operationalizing urgent data and analytics initiatives.

Responsibilities

Translates vision, goals, and business requirements for a data analytics project or product into technical specifications.
Designs fit-for-purpose data solutions using appropriate architectural design patterns that support business needs.
Provides direction for data architecture design, planning, and development.
Guides future updates and enhancements for data architecture.
Extends the next generation of the data ecosystem.
Operationalizes urgent data and analytics initiatives.

Requirements

Bachelor’s degree in data management, computer science, information systems, mathematics, data/analytics or a related field preferred or equivalent work experience.
At least 3-4 years of work experience in data management disciplines including data integration, data modeling, solutions architecture, optimization, and data quality.
Knowledge of business systems and processes and their impact on data and analytics objectives.
Ability to assess rapidly changing technologies and apply them to business needs.
Business domain, data/content, and process understanding.
Understanding of the Business Intelligence, Data Engineering, Data Science, and Data Governance processes and platforms.
Thorough knowledge of relational and non-relational database theory and structured query language (SQL).
Understanding of common data architecture frameworks.
Understanding of metadata models, taxonomies, and ontologies, as well as the challenges of applying structured techniques (data modeling) to less-structured sources.
Skilled working across multiple deployment environments including cloud, on-premises, and hybrid.
Adept at applying software engineering methodologies and DevOps principles to data architectures and platforms to improve communication, integration, reuse, and automation of data flows across the organization.
Exceptional analytical, quantitative, and logical problem-solving abilities.
Must be highly creative, collaborative, and able to communicate effectively with IT and business.
Capacity to be productive when working independently or collaboratively.
Ability to effectively manage time to handle competing high-priority projects.
Significant experience in successfully launching and planning data architecture projects.
Strong employee development skills, including onboarding, mentoring, and coaching staff.
Ability to analyze project, program, and portfolio needs, and determine the resources needed to achieve objectives and overcome cross-functional barriers.
Proven ability to establish the strategic direction of a team and manage analytics projects.
Persuasive with excellent interpersonal skills and the ability to interact effectively with others, including team members and senior management.
Skilled in all areas of analytics personnel management, particularly employee selection, training, performance evaluation, and salary development.

Skills

Data Management
Data Integration
Data Modeling
Solutions Architecture
Optimization
Data Quality
Business Systems and Processes
Technology Assessment
Business Domain Understanding
Data/Content Understanding
Process Understanding
Business Intelligence Platforms
Data Engineering Platforms
Data Science Platforms
Data Governance Platforms
Relational Databases
Non-relational Databases
Structured Query Language (SQL)
Data Architecture Frameworks
Metadata Models
Taxonomies
Ontologies
Cloud Deployment
On-premises Deployment
Hybrid Deployment
Software Engineering Methodologies
DevOps Principles
Analytical Skills
Quantitative Skills
Logical Problem-Solving Skills
Creativity
Collaboration
Effective Communication
Time Management
Project Planning
Project Execution
Employee Development
Onboarding
Mentoring
Coaching
Project Analysis
Program Analysis
Portfolio Analysis
Resource Determination
Strategic Direction Establishment
Analytics Project Management
Interpersonal Skills
Personnel Management
Employee Selection
Employee Training
Performance Evaluation
Salary Development

Experience Level

3-4 years of work experience in data management disciplines
Significant experience in successfully launching, planning, executing data architecture projects

Education Level

Bachelor’s degree in data management, computer science, information systems, mathematics, data/analytics or a related field preferred or equivalent work experience

Salary/Compensations

$155,000 - $165,000

Benefits

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) Plan
11 paid holidays
12 weeks of Parental Leave
Flexible PTO policy (sick time or vacation)

About the Company

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise.
Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision.
Fractal believes that a true Fractalite is the one who empowers imagination with intelligence.
Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute.
Fractal has been recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Equal Opportunity

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.