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MRI Software
Director

Director of Data Engineering

MRI SoftwareVisit website ·Posted today

Location

Bengaluru, Karnataka, India

Required Skills

AzureMachine LearningAIIoT

About the Role

About The Role We are seeking a strategic and hands-on Director of Data Engineering to lead the development and scaling of our data platform powering next-generation PropTech products. This leader will be responsible for enabling a unified, high-quality view of property, tenant, and market data to support analytics, digital experiences, and AI-driven insights.

You will own the full data lifecycle - from ingestion of diverse real estate data sources to transformation into a Common Data Model and delivery of trusted data for product, analytics, and machine learning use cases.

Key Responsibilities

  • • Data Platform Ownership

  • • Lead the end-to-end data engineering platform, including:

  • + Ingestion of structured and unstructured real estate data (e.g., listings, transactions, IoT/sensor data, geospatial data, third-party datasets)
    + Transformation into a scalable Common Data Model (CDM) for property, tenant, and asset data
    + Data architecture and platform design (batch and real-time)
    + Fulfillment of data for internal products, analytics, and AI use cases

  • • Define and execute a data strategy that supports digital property experiences and data-driven decision-making.

  • • Architecture . Data Modeling

  • • Design robust, scalable architectures for high-volume, multi-source property data.

  • • Establish and evolve a property-centric Common Data Model, enabling:

  • + Standardization across fragmented data sources
    + Cross-product interoperability
    + Longitudinal views of assets and tenants

  • • Incorporate geospatial and time-series data modeling best practices.

  • • Data Engineering . Processing

  • • Build and oversee pipelines for:

  • + Property listings and transaction data
    + Market and pricing data
    + Building operations and IoT data

  • • Ensure high data quality, reliability, and observability.

  • • Optimize for performance, scalability, and cost efficiency.

  • • Product . AI Enablement

  • • Partner with Product, Analytics, and AI/ML teams to deliver data that powers:

  • + Property search and recommendation engines
    + Market analytics and valuation models
    + Tenant and landlord insights
    + Predictive maintenance and smart building use cases

  • • Enable self-service data access for internal stakeholders.

  • • Data Fulfillment . Operations

  • • Establish SLAs and scalable processes for fulfilling data requests across the organization.

  • • Ensure timely, accurate delivery of data for customer-facing applications and internal tools.

  • • Build reusable data services and APIs where appropriate.

  • • Leadership . Team Building

  • • Build, lead, and mentor a high-performing data engineering team.

  • • Drive a culture of technical excellence, ownership, and innovation.

  • • Collaborate cross-functionally with Engineering, Product, and Business leaders.

  • • Governance, Security . Compliance

  • • Implement governance frameworks for sensitive real estate and customer data.

  • • Ensure compliance with data privacy regulations (e.g., tenant data, financial data).

  • • Establish standards for data lineage, cataloging, and documentation.

  • Qualifications Required

  • • 8–12. years in data engineering, with 3–5. years in leadership roles.

  • • Experience building and scaling cloud-based data platforms.

  • • Strong expertise in:

  • + Data modeling (especially domain-driven or Common Data Models)
    + ETL/ELT pipelines and orchestration
    + Distributed data processing systems

  • • Experience supporting analytics, product, and AI/ML use cases.

  • • Strong stakeholder management and leadership skills.

  • Preferred

  • • Experience in PropTech, real estate, or geospatial data domains.

  • • Familiarity with:

  • + Geospatial data tools (e.g., GIS systems)
    + IoT or smart building data pipelines
    + Real estate datasets (MLS, property records, market feeds)

  • • Experience with modern data stack (e.g., Snowflake, Databricks, Spark, Kafka, Airflow, dbt). Azure preferred but not required.

  • Key Competencies

  • • Strategic thinker with strong execution capabilities

  • • Deep technical expertise with architectural vision

  • • Strong cross-functional collaboration

  • • Data-driven mindset with product orientation

  • • Ability to navigate complex, fragmented data ecosystems

  • Success Metrics

  • • Adoption and consistency of the Common Data Model across products

  • • Reliability and scalability of the data platform

  • • Speed and quality of data delivery for product and analytics teams

  • • Enablement of AI/ML and advanced analytics use cases

  • • Team growth, engagement, and performance

  • Benefits

  • • Hybrid working arrangements (3 days working from office per week)

  • • 6x Flexi holidays: knock 2.5 hours off your day

  • • Medical insurance coverage for extended family members.

  • • Engaging, fun . inclusive culture: check out the MRI Software APAC Insta feed and stories!

  • About Us
    From the day we opened our doors, MRI Software has built flexible, game-changing real estate software that powers thriving communities and helps make the world a better place to live, work and play. Fulfilling that mission is only possible because of one thing: exceptional people. People like you!

    Our people-first approach to PropTech is defining a new industry standard for client experiences that, quite frankly, can’t be duplicated. Experiences that deliver real value every day. And we know those experiences begin with our people.

    We believe MRI is more than just a workplace; it’s a connected community of people who truly feel they belong. Whether we’re investing in employee resource groups or providing tailored resources for each person to reach their full potential, we’re passionate about creating a work environment that makes you excited to show up every single day.

    At MRI, one of our core values is to
    strive to amaze.
    From the intelligent solutions we create to the culture we cultivate, that’s our goal every day. Because that’s what industry leaders do. Whether you’re joining as a new Pride member or rejoining us after a short time away, your talent is vital to us, our partners and our clients.

    Amazing growth requires amazing employees. Are you up to the challenge?
    We know confidence gap and imposter syndrome can get in the way of meeting remarkable candidates, so please don’t hesitate to apply. We’d love to hear from you!

    MRI is proud to be an inclusive employer. We welcome and celebrate diversity across all backgrounds, including ethnicity, religion, sexual orientation, gender identity, disability, age, military, veteran status and more.
    We believe that Belonging is a direct result of Diversity, Equity, and Inclusion. Those values are woven into the fabric of who we are and are foundational to our continued success. Come and see for yourself!

    HireIQ AI InsightsBeta

    Ideal Candidate

    Someone who has scaled a cloud data platform (Snowflake/Databricks/Spark stack) from 3-5 years in a hands-on leadership role, ideally with exposure to multi-source domain modeling (financial services, SaaS, or marketplace platforms).

    Estimated Salary Range(medium confidence)

    40 L – ₹65 L per year

    Likely Interview Questions

    1. 1.Walk us through a Common Data Model you've designed. How did you handle conflicting definitions of the same entity across product teams, and how did you measure adoption?
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