Data Architect

This is a fully remote position, open to applicants in California, +19 more states.

📋 Description

• Establish and uphold an enterprise data architecture and roadmaps that are in line with business priorities, enterprise architecture principles, and technical requirements.

• Convert business requirements into data architecture and design specifications in collaboration with stakeholders, Business Analysts, Software Engineering, and technical teams.

• Create and sustain conceptual, logical, and physical data models, including ERDs.

• Identify authoritative data sources and develop strategies for cross-system identifiers.

• Design data integration patterns for the movement, transformation, and synchronization of data across different systems.

• Define the architecture for the Snowflake data platform, encompassing data organization, workload design, and optimization for performance and cost.

• Set PostgreSQL data design standards and offer guidance on database structures, query performance, and operational requirements.

• Establish standards for schemas, naming conventions, and data organization.

• Guide the design of physical databases while ensuring data integrity, performance, and efficient storage.

• Define source-to-target mappings and transformation specifications, and review implementation designs.

• Collaborate with Data Governance and business data owners regarding definitions, ownership, and governance policies.

• Establish requirements for data quality, validation, reconciliation, metadata, and lineage.

• Work alongside Security, Data Governance, and platform administrators on classifications, access controls, encryption, and data handling protocols.

• Translate retention, archival, and disposal policies into architectural requirements.

• Partner with DevOps and Infrastructure teams on version control, deployment, monitoring, and recovery needs.

• Evaluate solution designs and vendor proposals to ensure compliance with enterprise data architecture standards.

• Examine data changes and oversee model and schema evolution while managing downstream dependencies.

• Maintain documentation of architecture, standards, and design decisions.

• Provide technical leadership and facilitate knowledge transfer to developers, data teams, and stakeholders.

• Assist with audits and compliance reviews by supplying architecture documentation and evidence.

• Design architecture for AI, ML, and advanced analytics use cases.

• Assess emerging data technologies and recommend their adoption.

• Undertake other related tasks as assigned by management.

⛳️ Requirements

• A Bachelor’s degree in computer science, information technology, or a related field, or an equivalent combination of relevant education, training, and experience.

• A minimum of 5 years of experience in data architecture, data modeling, and database management.

• Certifications in data architecture, database management, or related fields are advantageous.

• Strong analytical and problem-solving abilities.

• Capability to evaluate architectural trade-offs and articulate their business impact, costs, and long-term support considerations.

• Excellent facilitation and negotiation skills.

• Ability to navigate ambiguity, identify gaps in requirements, and offer recommendations with well-documented assumptions.

• Strong organizational skills, with the capability to prioritize competing demands and manage dependencies across projects.

• Experience in the telecommunications industry is preferred.

🏝️ Benefits

• Competitive salary and a comprehensive benefits package.

• Opportunities for professional development and career advancement.

• A collaborative and supportive team environment.

• Meaningful work that positively impacts customers and communities.

• Opportunities to collaborate with talented colleagues within a growing organization.