Senior Data Architect

Vytwo; Prosper (TX); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible work from home options

Job summary

Vytwo is seeking a Senior Data Architect in the United States to define and build out a comprehensive data strategy with a focus on AI. Responsibilities include designing data models, ensuring data governance, and providing technical leadership to teams. The ideal candidate has extensive experience in data architecture, strong leadership skills, and a clear ability to communicate complex information. Flexible work from home options are available.

Qualifications

• Advanced experience in designing and implementing data models.
• Expertise in various database technologies, including SQL and NoSQL.
• Ability to architect scalable data solutions on major cloud platforms.

Responsibilities

• Design and maintain comprehensive data models for business services.
• Define and create data flow diagrams to ensure governed data movement.
• Provide technical oversight and guidance to data teams.

Skills

Data models (Star Schema, Snowflake)

SQL and NoSQL database technologies

Big Data technologies

ETL/ELT tools

Data integration strategies

Advanced data processing techniques

Tools

AWS

Azure

GCP

Job description

Position: Senior Data Architect

Location: Minneapolis, MN

Job Type: Contract

Role Summary:

A thought leader who can define and build out the components of a comprehensive data strategy and architecture with a strong focus on AI. This person should have deep expertise in modern data architecture patterns and the ability to articulate a clear, forward-looking vision.

The Senior Data Architect delivers the data vision and strategy for the organization, as defined by the Chief Data Architect (or equivalent leadership). This role is responsible for the design, governance, and technical oversight of the enterprise data architecture, ensuring that data systems are scalable, secure, compliant, and aligned with core business needs.

Key Responsibilities:

Data Architecture & Design

• Design, maintain, and evolve comprehensive data models (Conceptual, Logical, and Physical) for core business services and platforms.
• Define and create data flow diagrams and orchestration strategies, ensuring efficient and governed data movement between up- and downstream systems.
• Collaborate closely with Application and Cloud Architects to ensure the organization’s technical systems are designed to fully support the established data architecture standards.
• Develop product short-lists and evaluation criteria for selecting data architecture components, such as data warehousing solutions, Big Data platforms (e.g., Hadoop, Spark, Kafka), and database technologies (SQL/NoSQL).

Data Governance & Quality

• Evolve and define data governance policies, standards, and best practices across the organization.
• Design, support, and manage data dictionaries, metadata repositories, and common entities to ensure consistent use and definition of data.
• Drive the standards for Data Quality across multiple datasets, ensuring consistency and data trust across the enterprise.
• Design data retention, upgrade, management, decommission, and archive strategies in compliance with data policies and regulatory standards (e.g., data privacy).

Technical Leadership & Mentorship

• Provide technical oversight, advice, and guidance to other Data Architects, Data Engineers, and development teams regarding data structures and associated components.
• Ensure project teams adhere to the corporate data standards and architectural principles set by data leadership.
• Mentor and support colleagues in multi-disciplinary teams, promoting best practices in data architecture and design.

Required Skills and Experience:

Technical

• Advanced experience in designing and implementing data models (Star Schema, Snowflake, etc.).
• Expertise in a wide variety of database technologies, including relational (SQL) and NoSQL platforms, and Big Data technologies.
• Demonstrated ability to architect scalable, high-performance data warehousing and data lake solutions on major cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of ETL/ELT tools, data integration strategies, and advanced data processing techniques.

Professional

• Excellent verbal and written communication skills with the ability to translate complex technical information and language into simple, accessible terms for non-technical stakeholders.
• Strong leadership skills with the proven ability to establish relationships, manage differing stakeholder perspectives, and drive technical direction across teams.
• A systematic, disciplined, and analytical approach to problem-solving, with an awareness of evolving business needs and technology capabilities.

Flexible work from home options available.