Get the chrome extension Solution Architect - Reltio MDM
Inizio Partners Corp
Job Description: Solutions Architect – Reltio MDM
Location: Remote US
Employment Type: Full-Time
Experience Level: Senior (8+ Years)
About the Role
We are seeking an experienced Solutions Architect with a strong background in Reltio Master Data Management (MDM) implementations to lead the design, architecture, and delivery of enterprise-scale MDM solutions. The ideal candidate will have deep expertise in Reltio's platform, data governance, data integration, and customer/vendor/product master data domains.
This role requires a blend of technical leadership, client-facing consulting experience, and hands-on solution design capabilities to drive successful MDM transformations for our clients.
Key Responsibilities
Solution Architecture & Design
- Lead end-to-end architecture and design of Reltio MDM solutions.
- Define master data models, survivorship rules, matching strategies, hierarchy management, and data governance frameworks.
- Design scalable and secure architectures integrating Reltio with enterprise applications, data lakes, ERP, CRM, and analytics platforms.
- Develop architecture artifacts, solution blueprints, and technical design documents.
Reltio Implementation Leadership
- Lead multiple Reltio implementation projects from discovery through deployment.
- Conduct requirements gathering workshops and translate business needs into technical solutions.
Configure and guide implementation of:
- Reltio Data Model
- Match & Merge
- Survivorship Rules
- Reference Data Management
- Hierarchies & Relationships
- Workflows
- Data Quality and Validation Rules
- Reltio Integration Hub (RIH)
- Provide architectural oversight during development, testing, and production deployment.
Integration & Data Engineering
- Design integrations between Reltio and:
- Salesforce
- Workday
- SAP
- Oracle
- Microsoft Azure
- Data Warehouses/Data Lakes
- Third-party applications and APIs
- Define API-driven integration strategies using REST APIs and event-basedarchitectures.
- Collaborate with integration and engineering teams to ensure scalable data flows.
Client & Stakeholder Management
- Act as a trusted advisor to client stakeholders and executive sponsors.
- Lead architecture reviews and technical governance meetings.
- Present solution recommendations, implementation roadmaps, and best practices.
- Mentor technical teams and provide leadership across project workstreams.
Required Qualifications
- 8+ years of experience in enterprise data management and solution architecture.
- 3+ years of hands-on experience implementing Reltio MDM solutions.
- Successfully delivered multiple end-to-end Reltio implementations in production environments.
Strong understanding of:
- Customer 360
- Supplier/Vendor 360
- Product 360
- Data Governance
- Data Quality
- Reference Data Management
Experience with Reltio components including:
- Reltio MDM Platform
- Reltio Integration Hub (RIH)
- Reltio APIs
- Match & Merge Framework
- Hierarchy Management
- Strong SQL and data modeling skills.
- Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
- Experience designing REST API integrations and enterprise data pipelines.
- Excellent communication and stakeholder management skills.
Preferred Qualifications
- Reltio Certified Solution Architect or equivalent Reltio certifications.
- Experience with Informatica, Semarchy, Profisee, or other MDM platforms.
- Experience with Azure Data Factory, Microsoft Fabric, Databricks, or Snowflake.
- Knowledge of data governance frameworks and data stewardship processes.
- Experience in consulting or professional services environments.
- Familiarity with Agile/Scrum delivery methodologies.
What Success Looks Like
- Architect and deliver scalable Reltio MDM solutions aligned with business objectives.
- Drive implementation best practices and establish reusable architecture patterns.
- Improve data quality, governance, and trusted master data across the enterprise.
- Enable successful integration of master data across business systems and analytics platforms.
Why Join Us
- Opportunity to work on complex enterprise data transformation initiatives.
- Exposure to cutting-edge MDM and cloud technologies.
- Collaborative and highly skilled consulting team.
- Significant growth and leadership opportunities.
Originally posted on Himalayas
Senior Solutions Architect (Databricks Specialist)
Blue Pearl
Location:
We are seeking an experienced Senior Solutions Architect specializing in Databricks to provide strategic leadership and architectural oversight for a large-scale data modernization program within a leading Financial Services organization.
The client is currently transitioning from a traditional SQL Server and Microsoft-centric data ecosystem to a modern Databricks-based platform to support its long-term data, analytics, and AI strategy. While the client has an established and capable Data Engineering team, they require a senior-level architect to provide strategic direction, implementation frameworks, architectural governance, and best-practice guidance to ensure a successful and cost-effective transformation.
- This role will focus on defining the target-state architecture, establishing standards and governance, optimizing platform design, and ensuring alignment between technology investments and business objectives.
Key Responsibilities
- Provide strategic architectural leadership for the organisation's Databricks implementation and data modernization initiatives.
- Design and define enterprise-scale data and analytics architectures aligned to business and AI objectives.
- Develop and implement architectural frameworks, standards, patterns, and best practices for Databricks adoption.
- Guide the Data Engineering team on solution design, scalability, performance optimization, security, and governance.
- Assess current SQL Server and Microsoft-based environments and define migration strategies to Databricks.
- Ensure architecture decisions support future AI, machine learning, advanced analytics, and reporting requirements.
- Evaluate and optimize platform utilization to drive cost efficiency and maximize return on investment.
- Establish governance, architecture review processes, and implementation roadmaps.
- Provide executive-level insights and recommendations on technology direction, risks, opportunities, and investments.
- Collaborate with business stakeholders, technology leadership, engineering teams, and vendors to drive successful outcomes.
- Oversee solution quality and ensure alignment with enterprise architecture principles and regulatory requirements.
- Identify technical risks, dependencies, and potential challenges, implementing mitigation strategies where required.
- Mentor engineering teams and promote architectural excellence across the program
Requirements
Required Technical Skills
Essential
- Deep expertise in Databricks architecture, implementation, and optimization
- Strong understanding of enterprise data platforms and modern data architectures
- Data Lakehouse architecture design and implementation
- Data governance, security, compliance, and data management frameworks
- Data migration strategy and execution
- Enterprise integration patterns and cloud-based architectures
- Analytics, Business Intelligence, and AI/ML platform enablement
Preferred
- Experience with Microsoft Azure Data Services
- Azure Data Factory
- Azure Synapse Analytics
- SQL Server
- Delta Lake
- Unity Catalog
- DataOps and DevOps practices
- AI and Machine Learning platform architecture
Essential Experience & Qualifications
- 10+ years of experience in Solution Architecture, Enterprise Architecture, or Data Architecture roles.
- Demonstrated experience delivering large-scale data transformation and modernization initiatives.
- Extensive experience designing and implementing Databricks solutions in enterprise environments.
- Proven track record supporting cloud migration and modern data platform programs.
- Experience within Financial Services, Banking, Insurance, or highly regulated environments.
- Strong understanding of data governance, security, compliance, and risk management frameworks.
- Experience developing enterprise architecture standards, frameworks, and governance models.
- Relevant certifications in Databricks, Cloud Platforms (Azure preferred), TOGAF, or related disciplines are highly advantageous.
Key Competencies
Strategic Leadership
- Ability to align technology architecture with long-term business strategy.
- Strong commercial acumen and focus on value delivery.
- Ability to influence technology direction at executive level.
Stakeholder Engagement
- Comfortable engaging with C-suite executives and senior business leaders.
- Strong communication, presentation, and facilitation skills.
- Ability to simplify complex technical concepts for non-technical audiences.
Architecture & Governance
- Excellent architectural design and decision-making capabilities.
- Strong focus on governance, standards, and best practices.
- Ability to drive consistency across multiple teams and initiatives.
Delivery & Outcomes
- Results-driven with a focus on business impact and measurable outcomes.
- Strong problem-solving and analytical thinking skills.
- Ability to work independently while guiding large technical teams.
Ideal Candidate Profile
The ideal candidate is a highly experienced Senior Solutions Architect with deep Databricks expertise, capable of providing strategic oversight to an established engineering team. They will bring extensive experience in enterprise data transformation, architecture governance, and cloud-based analytics platforms. The successful individual will be comfortable operating at executive level, influencing business and technology strategy, while ensuring Databricks is implemented in a scalable, cost-effective, and future-ready manner that supports the organisation's AI and data ambitions.
Details
Originally posted on Himalayas