Want to hear how I work? Hit play.Kablio AI applies for you. You just show up to the interviewKablio AI helps you secure roles in construction, clean energy, facilities management, engineering, architecture, sustainability, environment and other physical world sectors.
Get hired, get rewarded!
Land a job through Kablio and earn a 5% salary bonus.
Exclusive benefits
5%Bonus
Data Architecture and Engineering Director
Core Spaces
Core Spaces specializes in real estate development, including residential, commercial, and mixed-use properties.
Design, implement, and optimize data pipelines and warehouse using various tools like Databricks, Azure Data Factory, Delta Lake, and Power BI for data transformation, modeling, and integration from multiple platforms to ensure data integrity, performance, and accessibility.
20d ago
$175,000 - $200,000
Expert & Leadership (13+ years)
Full Time
Chicago, IL
Hybrid
Company Size
300 Employees
Service Specialisms
Construction services
Project Management
Consulting
Engineering
Architecture
Property Development
Design
Technical Services
Sector Specialisms
Student Housing
Build-to-Rent Residential
Role
What you would be doing
data warehousing
etl pipelines
automation design
data security
semantic models
governance
Provide documentation, knowledge transfer, and training to analysts and report developers.
Build and manage enterprise data warehouses and lakehouse environments.
Support schema evolution, metadata management, and automation of workflows.
Mentoring peers and elevating organizational data maturity.
Driving multifamily housing or real estate data solutions.
Design, implement, and optimize ETL/ELT pipelines using Databricks, Azure Data Factory, Delta Lake, and other tools.
Partnering cross-functionally with Finance, Operations, and Technology teams.
Designing scalable automation for reporting, reconciliation, and forecasting needs.
Work with semi-structured data (CSV, JSON, Parquet, XML) and ensure lineage, quality, and integrity.
Enable reporting and analytics through semantic layers and Power BI models.
Define and enforce data modeling and architecture standards across platforms and projects.
Continuously identify opportunities for advanced analytics and efficiency improvements.
Act as a subject matter expert (SME) for data engineering best practices.
Transform raw data into structured tables, star schemas, and reporting models.
Enhance and monitor existing data models, pipelines, and performance SLAs.
Manage and monitor data security and access in alignment with enterprise policies.
Support validation, reconciliation, and migration for integrations and rollouts.
Partner with stakeholders to translate business requirements into data models and platform capabilities.
Collaborate with business users and engineers to support operational and strategic projects.
Ingest, cleanse, and transform data from multiple SaaS and operational systems.
Document data models, pipelines, transformation logic, and integrations.
Govern functional and non-functional requirements to ensure scalability, performance, and security.
What you bring
sql, python
databricks
power bi
bachelor’s
7 years
data pipelines
Must be able to complete all physical requirements of this role with or without a reasonable accommodation
Ability to work with multiple formats (CSV, JSON, Parquet, XML) and API-based data ingestion.
Familiarity with real estate/multifamily housing data domains (preferred).
Strong SQL and Python (PySpark) proficiency.
Strong analytical, problem-solving, and communication skills.
7+ years of progressive experience in data engineering, data architecture, or analytics modeling.
Hands-on experience with Databricks, Azure Data Factory, Delta Lake, and Power BI.
Comfort working independently and collaboratively in a fast-paced, “in-the-weeds” environment.
Deep understanding of data transformation, pipelines, and schema design (star, snowflake, dimensional modeling, CDC/SCD2).
Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field (or equivalent experience).
Experience building/managing data warehouses and lakehouse environments.
Benefits
Wellness allowance and perks, including a yearly subscription to a meditation app
Monthly phone reimbursement
Company retirement options including 401(k) + matching & Roth account option
Monthly workshop weeks; fewer meetings & more collaboration
Robust health plan options that begin within at least 30 days of your employment
Paid Parental Leave that begins after 90 days
Incentives designed to reward your achievements
Competitive pay that values your contributions
Paid 15 holidays, including your birthday, to disconnect and celebrate
Paid volunteer time off to give back to your community
Hybrid or remote work options may vary by role to support work-life balance
Paid flexible PTO to disconnect or celebrate life milestones
Employee Assistance Program (EAP) for access to confidential support services
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
Information not given or found
Security clearance
credit and criminal background checks may be conducted as permitted by law
Hey there! Before you dive into all the good stuff on our site, let’s talk cookies—the digital kind. We use these little helpers to give you the best experience we can, remember your preferences, and even suggest things you might love. But don’t worry, we only use them with your permission and handle them with care.