Senior Solution Architect

Position Overview

The Senior Solution Architect [Data Analyst] is responsible for defining and governing a unified data architecture strategy across the EIT and Film platforms. This role provides deep technical leadership in data modeling, migration planning, and cross-platform integration, ensuring data consistency, quality, scalability, and long-term sustainability across selected platform combinations.

The position plays a critical role in enabling modernization efforts by establishing a single, coherent data foundation that supports operational workflows, reporting, analytics, and regulatory or business requirements.

Primary Responsibilities

Data Analysis & Current-State Assessment

• Analyze existing data structures, schemas, and relationships across the EIT and Film systems.
• Assess data quality, completeness, consistency, and usage patterns across platforms.
• Identify redundancies, gaps, and risks in current data models and storage approaches.

Data Architecture & Modeling

• Design a unified, platform-agnostic data schema that supports current and future EIT and Film system needs.
• Define canonical data models, entities, attributes, and relationships to ensure cross-platform compatibility.
• Establish standards for data naming, data types, metadata, and reference data management.

Data Migration Strategy

• Develop a comprehensive data migration strategy aligned with the selected platform combination(s).
• Define migration phases, sequencing, dependencies, and validation checkpoints.
• Identify data transformation, cleansing, and reconciliation requirements to ensure accuracy and integrity post-migration.

Integration & Interoperability

• Evaluate data integration capabilities between EIT and Film platforms, including batch, real-time, and API-based approaches.
• Define integration patterns and data exchange mechanisms that support scalability, performance, and reliability.
• Collaborate with application and integration teams to ensure data architecture aligns with system design decisions.

Data Governance & Oversight

• Establish a data governance framework covering data ownership, stewardship, quality controls, and lifecycle management.
• Define policies for data security, access control, auditability, and compliance.
• Provide ongoing architectural guidance to ensure adherence to approved data standards and governance practices.

Key Deliverables

Current-State Data Inventory and Quality Assessment

• Comprehensive inventory of EIT and Film system data assets
• Data quality findings, risks, and remediation recommendations

Unified Data Model Design

• Conceptual, logical, and physical data models
• Canonical data definitions and cross-platform mappings

Data Migration Strategy and Timeline

• Migration approach, sequencing, and cutover strategy
• Data validation, reconciliation, and rollback plans

Data Integration Specifications

• Integration design documentation for supported platform combinations
• Data exchange formats, interfaces, and synchronization rules

Data Governance Framework

• Governance roles, standards, policies, and operating procedures
• Ongoing monitoring and quality management approach

Required Qualifications

• Proven experience designing enterprise-scale data architectures for complex, multi-system environments.
• Strong expertise in data modeling, schema design, and data normalization strategies.
• Demonstrated experience planning and executing large-scale data migrations.
• Hands-on knowledge of data integration patterns, APIs, and interoperability frameworks.
• Experience establishing and operationalizing data governance frameworks.
• Excellent analytical, documentation, and stakeholder communication skills.

Preferred Qualifications

• Experience supporting system modernization or platform consolidation initiatives.
• Familiarity with regulated or compliance-driven data environments.
• Ability to collaborate effectively with technical, business, and executive stakeholders.