Data Architect

About This Opportunity

Our talent team is representing a confidential SaaS organization in a search for a Data Architect to lead enterprise data architecture initiatives across multiple product lines. This is a hands-on technical leadership role focused on unifying reporting platforms, data models, and analytics capabilities while separating analytical workloads from transactional systems.

You'll partner with database administrators, business intelligence professionals, engineering teams, and business leaders to establish a scalable, governed data platform that enables trusted reporting and advanced analytics.

Responsibilities

• Define and own the target-state data architecture and roadmap for a unified reporting and analytics platform across multiple products
• Assess current transactional databases, data pipelines, reporting tools, and customer-specific reports; document dependencies, performance risks, and migration constraints
• Establish a shared enterprise data model, canonical business definitions, master-data strategy, and system-of-record ownership for core business entities
• Design the separation of transactional and analytical workloads using cloud data warehouse or lakehouse patterns; evaluate platforms including Snowflake based on scale, security, cost, and business needs
• Create phased migration strategies that maintain business continuity and customer commitments while consolidating reporting across product lines
• Develop patterns and standards for data ingestion, transformation, orchestration, semantic models, data quality, lineage, metadata, and observability
• Rationalize large report catalogs and reduce support burden through reusable datasets, governed self-service analytics, and configurable reporting patterns
• Guide database teams on PostgreSQL and Microsoft SQL modernization, replication, change-data-capture patterns, performance isolation, and operational readiness
• Establish data governance practices covering ownership, access controls, privacy, security, quality thresholds, and change management
• Lead technical discovery, architecture reviews, proofs of concept, and vendor evaluations; translate findings into actionable designs and investment recommendations
• Provide hands-on technical guidance to delivery teams and ensure new capabilities align with target architecture rather than creating additional data silos
• Enable trusted enterprise dashboards and cross-product reporting that support operational, customer, financial, and executive decision-making

What We're Looking For

Required Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Management, or related field, or equivalent practical experience
• 8+ years of experience in data engineering, database architecture, analytics engineering, or business intelligence
• 3+ years in a data architecture or senior technical leadership role
• Demonstrated experience designing enterprise data warehouses, lakehouses, or analytical platforms and migrating data from multiple operational systems
• Strong data-modeling expertise across conceptual, logical, and physical models, including dimensional modeling and normalized transactional designs
• Hands-on proficiency with SQL, relational databases, ETL/ELT patterns, orchestration, data quality, metadata, lineage, and BI semantic models
• Experience separating reporting workloads from high-volume transactional systems and designing for performance, resilience, scalability, and cost control
• Experience with cloud data platforms and modern data integration patterns, including APIs, replication, and change data capture
• Strong written and verbal communication skills, with ability to present architecture decisions to technical and non-technical audiences

Preferred Qualifications:

• Hands-on experience with Snowflake and at least one major cloud platform (AWS, Azure, or Google Cloud)
• Experience with PostgreSQL and Microsoft SQL, including modernization or migration initiatives
• Experience consolidating reporting platforms following acquisitions or across multi-product portfolios
• Experience rationalizing large libraries of standard and customer-specific reports and enabling governed self-service analytics
• Familiarity with retail, point-of-sale, inventory, e-commerce, or donation data domains
• Knowledge of data privacy, security, role-based access, audit, retention, and compliance practices
• Experience enabling machine learning, generative AI, or agentic AI use cases through governed enterprise data products
• Relevant cloud, data-management, or architecture certifications

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will screen qualified applicants and coordinate interviews with our client. We manage the entire process and serve as your advocate throughout. Please do not contact the client directly—all communication flows through Get A Job.ai to ensure a professional, organized experience.

Pay

Compensation details will be discussed with qualified candidates during the screening process.

Equal Employment Opportunity: Get A Job.ai is committed to providing equal employment opportunities to all applicants regardless of 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.