Data Architect

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Data Architect SR-38531)

Rhode Island (Onsite)

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. Where no possibility is written off, only challenged to get better. We believe 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 and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal

Location
:
Rhode Island

Note: This position is not eligible for Immigration Sponsorship at this time.

Responsibilities:

• 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 the most urgent data and analytics initiatives. Design and implement scalable data architectures on AWS cloud platforms.

• Develop and optimize data pipelines using PySpark for large-scale data processing

Qualifications:

• Proven experience in data architecture and cloud-based solutions, especially AWS.

• 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 and 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 of 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 Dev Ops 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

Preferred

Skills:

• Significant experience in successfully launching, planning, and executing data architecture projects

• Strong employee development skills, which include onboarding, mentoring, and coaching staff

• Ability to analyze project, program and portfolio needs, as well as 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…