Data Architect (Salesforce) - Contract (Outside IR35) | Fully Remote

Data Architecture Design:

• Design and maintain enterprise-level data architecture, including models, flows, and integration strategies.
• Define architectural frameworks, principles, and standards for scalable and flexible data solutions.
• Ensure architectural alignment with business objectives, including CRM data requirements from Salesforce.

Salesforce Data Integration:

• Lead the design and implementation of data flows between Salesforce and other enterprise systems.
• Optimise data pipelines, ETL/ELT processes, and API integrations with Salesforce.
• Collaborate with CRM stakeholders to ensure high-quality and consistent Salesforce data modelling and management.

Data Governance and Management:

• Develop and enforce data governance policies, procedures, and standards.
• Ensure data integrity, quality, and compliance across all platforms, including Salesforce.
• Define best practices for data modelling, master data management, and lineage.

Enterprise Integration:

• Design end-to-end data integration solutions involving Salesforce, Snowflake, and cloud-based data platforms.
• Work with application and solution architects to define data interface specifications and enterprise data flows.
• Support data readiness and architecture for AI and analytics initiatives using Salesforce data.

Our client is seeking an experienced Data Architect for an initial 3-month contract (Outside IR35), working on a strategic data initiative. The ideal candidate will bring deep expertise in enterprise data architecture along with hands-on experience designing and integrating data solutions involving Salesforce. This is a fully remote position, offering the opportunity to contribute to a high-impact transformation programme., * Strong experience in data architecture, data management, or related fields.

• Proven experience integrating Salesforce with enterprise data platforms.
• Strong background in data modelling, warehousing, and database design.#
• Expertise in data modelling tools (eg, ER/Studio, Erwin).
• Strong working knowledge of Salesforce data structures, APIs, and integration tools (eg, MuleSoft, Informatica).
• Experience with data platforms such as Snowflake, Azure, AWS, and Google Cloud.
• Hands-on with ETL tools and technologies such as dbt, Talend, Apache Nifi, or Informatica.
• Familiarity with BI tools (eg, Power BI, Tableau) and AI-readiness frameworks.