Opinov8

Staff Reltio Data Engineer

Remote remote Senior Salary not listed
remote Senior level Technology & IT Curated
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About the role

PROJECT OVERVIEW
Our client is a leading commercial real estate advisory and services provider, supporting large institutional investors, global corporations, and other owners and occupiers. Their mission is to make leasing, buying, and selling properties across the retail, office, multifamily, industrial, student housing, and hospitality sectors easier and more efficient.
IN THIS ROLE, YOU WILL

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 relevant integration technologies.

Design scalable data ingestion, transformation, and synchronization processes to ensure data accuracy and consistency.

Establish and maintain data governance, stewardship, data quality, and monitoring practices.

Troubleshoot complex data and integration issues and continuously improve platform performance and reliability.

Collaborate with business stakeholders, data architects, and engineering teams to translate business requirements into effective MDM solutions.

Define technical standards and best practices for Reltio implementation, data modelling, integration, testing, and deployment.

Lead technical discussions and design reviews, providing guidance to engineering teams and stakeholders.

Mentor and support other engineers, promoting knowledge sharing and continuous improvement.

Evaluate new capabilities and technologies that can enhance the MDM platform and overall data architecture.

IF YOU ARE

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.

NICE TO HAVE

Experience with other MDM platforms such as Informatica, Profisee, or similar solutions.

Experience with cloud data platforms such as Databricks, Snowflake, Azure Synapse, BigQuery, or Redshift.

Knowledge of event-driven architectures and real-time data processing technologies such as Kafka, Event Hubs, or Kinesis.

Experience with data governance and cataloguing tools such as Microsoft Purview, Collibra, or Alation.

Familiarity with AI/ML solutions, LLM-powered applications, and AI-assisted development tools.

Experience with commercial real estate, fintech, or operations and transaction-related systems.

Experience mentoring engineers and influencing technical direction across teams.

AS AN OPINOV8R, YOU WILL HAVE

Digital-First Approach:Great talent knows no borders! You can work from wherever you are — we hire and collaborate with professionals worldwide.

Remote Work Model:Balance your professional and personal life with our flexible working conditions, empowering you to deliver your best from anywhere.

Exciting Projects:Dive into impactful projects across industries that challenge and spark creativity.

Boost Your Expertise:Grow your career with continuous learning, development opportunities, and hands-on experience.

Join the Best Team Ever:Collaborate with our diverse and cross-cultural team of passionate technologists and creative thinkers.

HOW’S THE HIRING PROCESS GOING
We strive to make our hiring process smooth and transparent to find the perfect match for both sides. Steps may differ depending on the role, but here’s what to expect:

Initial Interview: If your background fits the role, we’ll invite you for an interview with a Talent Acquisition Specialist.

Technical Interview:Depending on the position, you may complete a technical assessment or test task.

Final Decision:After all steps, we’ll get back to you with the result and next steps.

Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use these suggested prompts to prepare. They are not questions supplied by the employer.

Senior
Technology & IT API integration Human Resources MySQL Operations Python Senior level

Practice questions

  1. Tell us about work you have done that is close to the Staff Reltio Data Engineer role.
  2. How would you approach your first 30 days at Opinov8?
  3. Which of API integration, Human Resources and MySQL have you used recently, and what did it help you achieve?
  4. How have you led people, improved a process, or made a hard decision in a previous role?
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with API integration, Human Resources and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Staff Reltio Data Engineer role at Opinov8. My relevant experience is [your example], where I [your action] and achieved [your result].

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