Overview
On Site
180k - 230k
Full Time
Skills
Finance
Analytics
Business Intelligence
Python
SQL
Microsoft Azure
SQL Azure
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Computer Science
Data Engineering
Data Architecture
Extract
Transform
Load
Unstructured Data
Dashboard
Reporting
Real-time
Decision-making
Ideation
Generative Artificial Intelligence (AI)
Predictive Analytics
Data Governance
Artificial Intelligence
Life Insurance
SAP BASIS
Job Details
A leading real estate investment and operations firm is looking for a Data Strategy & Engineering Lead to spearhead their company-wide data transformation. This is a full-time, permanent position with an expectation of being onsite 4 days/week in their Boston office.
This organization is undergoing a major shift in how it uses data across every part of the business-from leasing and operations to finance and development. They are seeking a hands-on leader who can architect modern data infrastructure, drive adoption of AI-powered tools, and partner with cross-functional teams to turn raw data into strategic insights. Required Skills & Experience
This organization is undergoing a major shift in how it uses data across every part of the business-from leasing and operations to finance and development. They are seeking a hands-on leader who can architect modern data infrastructure, drive adoption of AI-powered tools, and partner with cross-functional teams to turn raw data into strategic insights. Required Skills & Experience
- 6+ years of experience in data engineering, analytics, or business intelligence
- Strong proficiency in Python and SQL
- Deep experience with Azure (Data Factory, Synapse, Azure SQL), or equivalent cloud platforms like AWS or Google Cloud Platform
- Proven ability to design and scale data infrastructure and pipelines
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
- Excellent communicator who can translate technical work into business value
- Familiarity with generative AI, LLMs, and APIs (e.g., OpenAI) is a strong plus
- Evaluate and redesign the company's data architecture to be scalable and future-ready
- Build and maintain robust ETL pipelines for both structured and unstructured data
- Create dashboards and reporting tools to enable real-time decision-making
- Partner with business teams to understand their data needs and deliver effective solutions
- Lead AI initiatives from ideation to deployment, particularly around generative AI and predictive analytics
- Champion data governance, quality, and best practices across the organization
- High-impact role with influence across the organization
- Opportunity to lead AI integration in a traditional industry
- Full-time employment with competitive salary
- Medical, dental, and life insurance coverage
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.