Sign upLog in

Director of Data Engineering & Platforms

COTALITY

MILWAUKEE, WI

Apply
JOB DETAILS
SKILLS
Architectural Services, Artificial Intelligence (AI), Best Practices, Business Intelligence, Cloud Computing, Data Analysis, Data Management, Data Modeling, Data Quality, Data Warehousing, Database Extract Transform and Load (ETL), Ecosystems, Leadership, Metadata, Performance Tuning/Optimization, Product Engineering, Product Management, Python Programming/Scripting Language, Quality Monitoring, Real Estate, Snowflake Schema, Software Engineering, Standards Development, Strategic Planning, Technical Leadership
LOCATION
MILWAUKEE, WI
POSTED
1 day ago
JOB REQUIREMENTS: Number of Openings: 1 Job Title: Director of Data
Engineering & Platforms Occupational Category: Please choose the most
appropriate choice based on the Job Title and Description. Duties and
Responsibilties of Job: At Cotality, we are driven by a single
mission-to make the property industry faster, smarter, and more
people-centric. Cotality is the trusted source for property
intelligence, with unmatched precision, depth, breadth, and insights
across the entire ecosystem. Our talented team of 5,000 employees
globally uses our network, scale, connectivity and technology to drive
the largest asset class in the world. Join us as we work toward our
vision of fueling a thriving global property ecosystem and a more
resilient society. Cotality is committed to cultivating a diverse and
inclusive work culture that inspires innovation and bold thinking; it's
a place where you can collaborate, feel valued, develop skills and
directly impact the real estate economy. We know our people are our
greatest asset. At Cotality, you can be yourself, lift people up and
make an impact. By putting clients first and continuously innovating,
we're working together to set the pace for unlocking new possibilities
that better serve the property industry. Job Description: We are seeking
a hybrid or remote Director of Data Engineering & Platforms to lead our
data transformation initiatives and establish robust data architecture
frameworks. This role reports to the AVP of Cloud Engineering and is
responsible for designing, implementing, and maintaining our enterprise
data ecosystem across bronze, silver, and gold data layers following
Data Mesh and Data Vault methodologies. This role sits at the
intersection of data engineering and AI enablement, where the decisions
made in the data layer directly shape the quality of what AI systems can
deliver. The ideal candidate will drive technical leadership and
strategic direction for our data platform while partnering with Product
Management, Data Analytics, Data Systems, Cloud Engineering, and product
teams to transform raw data into actionable business intelligence. Key
Responsibilities: Strategic Leadership & Architecture * Lead the
development and implementation of our data engineering strategy,
architecture roadmap, and technical standards * Oversee the design and
evolution of our data ecosystem utilizing Data Vault methodologies and
Data Mesh principles * Establish governance and quality frameworks
across Bronze (raw), Silver (transformed), and Gold (consumption-ready)
data layers * Partner with Product Management to align data platform
capabilities with business objectives and market demands * Drive the
technical roadmap for data integration, transformation, and delivery
systems, with explicit milestones for AI readiness Technical Direction &
Delivery * Provide technical leadership and oversight for the data
engineering team, ensuring best practices in data pipelines,
transformations, and delivery * Oversee the design and implementation
of Snowflake data architecture including warehousing, marts, and access
patterns optimized for both BI and AI workloads * Direct the
development of robust ETL/ELT processes using Matillion, Python-based
pipeline frameworks, and other modern data integration tools * Guide
the implementation of data quality monitoring, lineage tracking, and
metadata management * Establish standards for data modeling,
transformation logic, and performance optimization AI Data
Infrastructure * Partner with AI/ML and product engineering teams to
ensure the data layer supports LLM-powered applications reliably and at
scale * Provide architectural direction for retrieval and grounding
pipelines, including vector stores, embedding workflows, and hybrid
search infrastructure * Define standards for data preparation for AI,
covering metadata enrichment, context optimization, and semantic
indexing * Build observabili y into AI data flows and monitor for drift
and retrieval qualit To view the full job description please use the
link below.
https://www.aplitrak.com/?adid=YmJnZW5lcmljLjEwMjk0Ljg3NzBAY29yZWxvZ2ljY29tcC5hcGxpdHJhay5jb20
* APPLICATION INSTRUCTIONS: Apply Online:
https://www.aplitrak.com/?adid=YmJnZW5lcmljLjEwMjk0Ljg3NzBAY29yZWxvZ2ljY29tcC5hcGxpdHJhay5jb20

About the Company

C

COTALITY