Data Architect- SalesforceInformatica

Horizontal Digital is an experience-forward consultancy. So what does this mean We help organizations not only meet ever-increasing customer expectations but set the bar higher in the process. And we deliver on this promise by putting customers at the absolute center of everything we do helping them build stronger possibilities with our clients in the solutions are driven by strategy creativity and execution - powered by MuleSoft Salesforce and other enterprise platforms. Get a deeper look at our expertise by visiting the Work section of our website.

But enough about us. Lets talk about you.

As a Salesforce Data Architect at Horizontal Digital you will lead data strategy architecture governance and migration for clients Salesforce and connected data platforms. The Data Architect plays a critical role for the team and will lead data migration strategy and implementation on Salesforce projects. Hands-on Informatica expertise is a mandatory requirement for this role.

What youll do:

• Work with functional and business clients to determine solutions that drive additional business value and lead data strategy design robust data models and optimize data infrastructure to support the companys needs.

• Work with Salesforce products: Informatica Mulesoft Sales Service and Marketing Cloud

• Make Data Strategy decisions related to the Salesforce environment

• Work creatively and analytically with clients to understand business needs and create technical solutions in a problem-solving environment

• Develop solutions for scalability while ensuring that they conform to long-term strategic priorities

• Evolve and shape the strategy architecture platform and standards for the integration team

• Create the strategy around the Data capture and migration to enable enterprises host clean valuable data in their instances.

• Be involved in pre-sales activities

• Define the enterprise data strategy and target-state data architecture across operational analytical and AI use cases spanning Salesforce ERP data warehouse and lakehouse platforms

• Architect Salesforce Data 360 solutions including data streams data model objects identity resolution calculated insights segmentation and activation and zero-copy integration with platforms such as Snowflake Databricks Google BigQuery and Amazon Redshift

• Design master data management and Customer 360 solutions covering golden-record strategy match and merge survivorship rules and reference data management

• Build conceptual logical and physical data models including Salesforce data models designed for large data volumes (data skew selective queries indexing archiving and Big Objects) and their sharing and security implications

• Establish data governance operating models including data ownership and stewardship metadata management data catalogues lineage data classification and retention policies

• Set up data quality frameworks covering profiling quality rules scorecards monitoring and remediation workflows

• Own the data migration strategy end to end: choose the approach (big-bang phased by wave or region or trickle with a coexistence period) sequence loads by object dependency and select tooling such as Informatica IDMC MuleSoft Talend or Azure Data Factory based on volume complexity reuse and licensing

• Design the migration architecture on Informatica IDMC or comparable ETL tools with a staging layer reusable parameterised mappings orchestrated taskflows external ID and cross-reference strategies and pre-load cleansing and deduplication using Informatica Cloud Data Quality

• Optimise and safeguard data loads through Bulk API 2.0 tuning avoidance of record locking and controlled bypass of automation handling complex data such as files history owner mapping and multi-currency while keeping sensitive data masked and staging access restricted

• Lead migration execution and sign-off through mock loads and dress rehearsals automated reconciliation (record counts checksums and field-level checks) cutover with freeze windows delta loads and rollback plans and hypercare including legacy CRM migrations and Salesforce org consolidations

• Shape analytics and reporting architecture across CRM Analytics Tableau and downstream data warehouse feeds

• Define data archiving backup and recovery strategies for Salesforce and connected platforms

• Prepare AI-ready data foundations for Agentforce and Einstein including grounding data unstructured data ingestion vector search in Data 360 and the data quality needed for trustworthy AI outcomes

• Lead a data community of practice mentoring data engineers and consultants and driving reuse of standards models and accelerators across projects

Modern ways of working with GenAI:

• Use GenAI assistants (e.g. Informatica CLAIRE Agentforce Claude GitHub Copilot) to speed up data profiling source-to-target mapping transformation logic and SQL/SOQL authoring with architect-level review of the output

• Apply GenAI in discovery to analyse legacy schemas data dictionaries and sample extracts producing field-level mappings data inventories and migration plans faster

• Use GenAI to draft and maintain data architecture artefacts such as ERDs (e.g. Mermaid) data dictionaries data standards and governance policies

• Bring AI into data quality through anomaly detection suggested quality rules duplicate and match recommendations and generation of synthetic or masked test data

• Use AI-assisted reconciliation and validation reporting during migrations to spot gaps and data issues earlier

• Define and role-model responsible AI and data practices: approved tools only no client or personal data in unapproved tools use of the Einstein Trust Layer where relevant human review of AI output and clear lineage for data feeding AI models

Who you are:

• Experience designing and implementing a projects technical & data architecture

• Could work closely with clients to define and derive the solutions

• Ability to guide the Development team

• Good understanding of Salesforce Deployment/Physical architecture

• Experience working with different file standards

• Experienced with Object Oriented Architecture and RESTful Architecture

• A pragmatic business-outcome-focused architect who treats data as a product and can explain data trade-offs to executives and technical teams alike

• Comfortable leading data decisions across Salesforce and non-Salesforce platforms rather than limiting the design to a single tool

• An early adopter of AI-assisted data engineering who brings the team along balancing speed with accuracy privacy and governance

What you bring:

• Mandatory Informatica: Strong hands-on experience with Informatica Intelligent Data Management Cloud (IDMC) including Cloud Data Integration (mappings mapping tasks taskflows Secure Agent pushdown optimisation) Cloud Data Quality and the Salesforce connectors with working knowledge of Informatica MDM Cloud Data Governance and Catalog Cloud Application Integration and PowerCenter-to-IDMC modernisation

• Experience defining the structure of the system its interfaces and the principles that guide the client

• Strong skills in system documentation (ERDs process flows etc)

• 10 years of client-facing consulting/professional services experience.

• 7 years of experience designing refining and implementing data migration using Informatica and other equivalent platforms

• Experience working within cross-functional project team to understand requirements and deliver solutions

• Evaluate and recommend data management technologies tools and platforms to support the organizations data strategy.

• Expertise in planning and executing enterprise data migration projects including data mapping data cleansing and data transformation using native Salesforce tools and third-party ETL tools (specifically Informatica and MuleSoft including DataWeave) minimizing downtime blackout and data loss during migration processes. Informatica is a must have.

• Proven track record leading large-volume Salesforce migrations end to end using Informatica or comparable ETL tools (e.g. Talend Jitterbit SSIS Azure Data Factory) including legacy CRM migrations and org consolidations backed by strong SQL for staging profiling and reconciliation

• Prior experience in migrating and integrating data from various sources including external systems databases and files while ensuring data quality during the process.

• Oversee data integration processes between systems enabling seamless data flow across applications and platforms.

• Experience in designing and developing complex data models including custom objects fields and relationships to support business processes.

• Experience in establishing and maintaining data governance policies and standards.

• Experience in monitoring data quality and implementing data cleansing procedures.

• Experience in implementing robust data security measures including data encryption access controls and data masking.

• Hands-on Salesforce Data 360 implementation experience

• Experience with cloud data platforms such as Snowflake Databricks Google BigQuery or Amazon Redshift with strong SQL skills

• Knowledge of data modelling techniques including third normal form dimensional modelling and Data Vault

• Experience designing for large data volumes in Salesforce using Bulk API 2.0 Data Loader and related tooling

• Working knowledge of data privacy regulations and how they translate into data architecture controls

• Practical experience using GenAI tools in data work with an understanding of AI-ready data concepts such as retrieval-augmented generation (RAG) vector search and unstructured data

• Preferred certifications: Salesforce Certified Data Architect Salesforce Data 360 Consultant (formerly Data Cloud Consultant) Informatica IDMC certifications or Snowflake/Databricks certifications

The above description is not designed to cover or contain a comprehensive listing of activities duties or responsibilities that are required of the employee for this job. Duties responsibilities and activities may change at any time with or without notice.

Required Experience:

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