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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Master Data Management (MDM) solutions, particularly with the Reltio Connected Data Platform, including data modeling, integration, and governance. Proven ability to lead technical initiatives, mentor teams, and collaborate effectively with stakeholders to deliver scalable data architecture solutions.
Highest-signal resume keywords
Reltio Connected Data PlatformMaster Data Management (MDM)Data Integration Using REST APIsSQL ProficiencyCloud Platforms (Azure, AWS, GCP)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingEntity ResolutionMatch and Merge RulesData Quality RulesETL/ELT ProcessesData GovernanceData StewardshipCI/CD ProcessesPython ProgrammingJava Programming
Soft Skills
Strong CommunicationAnalytical SkillsProblem-Solving SkillsMentoring
Tools & Technologies
Microsoft PurviewCollibraAlationDatabricksSnowflakeAzure SynapseBigQueryRedshiftKafkaEvent Hubs
Industry Keywords
Commercial Real EstateFintechOperations SystemsTransaction-Related Systems
Tech Stack
Tools & technologiesAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformInformaticaJavaKafkaPythonSnowflakeSQL
About the role
Key responsibilities & impact- Lead the technical design, architecture, and implementation of enterprise MDM solutions using the Reltio Connected Data Platform
- Configure and maintain Reltio data models, entity types, relationships, match and merge rules, survivorship strategies, and data quality rules
- Design and implement golden record management and entity resolution capabilities across multiple business data domains
- Develop and maintain integrations between Reltio and internal and external systems using REST APIs and other integration technologies
- Design scalable data ingestion, transformation, and synchronization processes
- Establish and maintain data governance, stewardship, data quality, and monitoring practices
- Troubleshoot complex data and integration issues and improve platform performance and reliability
- Collaborate with business stakeholders, data architects, and engineering teams to translate business requirements into MDM solutions
- Define technical standards and best practices for Reltio implementation, data modelling, integration, testing, and deployment
- Lead technical discussions and design reviews
- Mentor and support other engineers
- Evaluate new capabilities and technologies to enhance the MDM platform and overall data architecture
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field preferred
- 10+ years of experience in data engineering, software engineering, or data architecture
- Strong hands-on experience with the Reltio Connected Data Platform, including implementation, configuration, and ongoing platform development
- Deep understanding of Master Data Management (MDM) concepts, including golden records, entity resolution, match and merge, survivorship, data domains, and reference data management
- Experience designing and implementing Reltio data models, relationships, business rules, and data quality capabilities
- Strong experience integrating Reltio with enterprise applications and data platforms using REST APIs and other integration technologies
- Strong SQL skills and proficiency in Python, Java, or similar programming languages
- Experience with cloud platforms such as Azure, AWS, or GCP
- Understanding of data architecture, data modelling, ETL/ELT processes, and distributed data platforms
- Experience with data governance, data quality, and data stewardship practices
- Experience with CI/CD, automated testing, and deployment processes
- Proven ability to lead complex technical initiatives and work with cross-functional teams
- Strong communication, analytical, and problem-solving skills
- Experience with other MDM platforms such as Informatica, Profisee, or similar solutions is nice to have
- Experience with cloud data platforms such as Databricks, Snowflake, Azure Synapse, BigQuery, or Redshift is nice to have
- Knowledge of event-driven architectures and real-time data processing technologies such as Kafka, Event Hubs, or Kinesis is nice to have
- Experience with data governance and cataloguing tools such as Microsoft Purview, Collibra, or Alation is nice to have
- Familiarity with AI/ML solutions, LLM-powered applications, and AI-assisted development tools is nice to have
- Experience with commercial real estate, fintech, or operations and transaction-related systems is nice to have
- Experience mentoring engineers and influencing technical direction across teams is nice to have
Benefits
Comp & perks- Fully remote work model with flexible working conditions
- Work from wherever you are; professionals worldwide
- Exciting projects across industries
- Continuous learning and development opportunities
- Hands-on experience
- Collaboration with a diverse and cross-cultural team
