Director Data Engineering, Platform Job at JLL (Chicago, IL)

Senior Director, Data Platform Engineering

The Senior Director, Data Platform Engineering is accountable for architecting, ...

Location

United States , Boston

Salary:

220000.00 - 323000.00 USD / Year

SimpliSafe

Expiration Date

Until further notice

Requirements

10+ years in data engineering, platform engineering, or distributed systems roles
5+ years leading teams delivering enterprise-scale data platforms in production
Proven history modernizing or rebuilding data platforms with measurable outcomes
Strong track record managing third-party partners (onshore and offshore)
Deep hands-on experience with Databricks and/or Snowflake, Spark, SQL, Delta Lake, Data Hub, and cloud object storage
Ability to drive selection around an optimized set of tooling
Experience implementing medallion architectures and scalable transformation frameworks
Strong experience with streaming and event-driven data systems
Solid understanding of cloud security and cost optimization
Enterprise-minded leader able to influence executives and earn credibility with engineers

Job Responsibility

Architect, build, and implement a modern lakehouse platform using Databricks or equivalent technologies, cloud object storage, and best-in-class open-source tooling
Establish and operationalize medallion standards for ingestion, transformation patterns, performance, schema evolution, and data lifecycle management
Design scalable, resilient ingestion and transformation frameworks supporting core enterprise domains (customer, device/telemetry, monitoring events, operations, finance, supply chain, marketing)
Lead migration from legacy pipelines and systems including dual-run strategies and decommissioning
Manage technical debt deliberately and evolve the platform as scale and use cases expand
Drive strategy and execution using partners and internal resources
Drive the execution of enterprise-wide, cross-functional data initiatives by serving as the technical and delivery lead
Build and scale event-driven and streaming data pipelines for near real-time operational and product use cases
Implement robust, streaming data ingestion architectures with clear reliability and observability standards
Ensure real-time and batch pipelines coexist cleanly with consistent governance hooks, lineage, and quality controls

What we offer

A mission- and values-driven culture and a safe, inclusive environment
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation
A full range of medical, retirement, and lifestyle benefits

Fulltime

Engineering Director Data Engineering

Location

India , Gurugram

Salary:

Not provided

Randstad

Expiration Date

July 26, 2026

Requirements

Proficiency in Data Engineering
Strong knowledge of data pipeline development and data integration techniques
5+ years of overall IT experience, which includes building & deployment of Bigdata applications using PySpark and AWS cloud
Extensive experience in design, build and deployment of Python-based applications
Hands-on experience in relational databases preferably Oracle and PostgreSQL and writing complex SQL queries
Experience in various AWS services such as EMR, API Gateway, RDS instance, and Lambda
Understand complex data sets and ETL processes, and how they can be optimized using Spark
Experience with cloud-based data platforms and distributed computing frameworks
Ability to optimize data workflows for performance and scalability
Familiarity with database management systems and data warehousing concepts

Job Responsibility

Expected to be an SME, collaborate and manage the team to perform
Responsible for team decisions
Engage with multiple teams and contribute on key decisions
Provide solutions to problems for their immediate team and across multiple teams
Lead the coordination of project activities to ensure timely delivery of software components
Mentor junior team members to support their professional growth and skill development
Facilitate effective communication between stakeholders to align technical solutions with business objectives
Collaborate with other teams to integrate Spark jobs into the overall data pipeline
Monitoring and tuning data loads and queries

Director SW Engineering (ML Engineering and Platform)

The Prisma AIRS team is building the future of AI security. With organizations b...

Location

United States , Santa Clara

Salary:

232000.00 - 320750.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

BS/MS in Computer Science, Engineering, or a related technical field
12+ years of professional software development experience, with a proven track record of building and shipping high-quality, large-scale, enterprise-grade cloud delivered services
Extensive professional experience with a deep focus on MLOps, ML systems, or productionizing machine learning models at scale
MLOps pipelines
Model governance/lifecycle
AI observability stack, Big Data infra (Kafka/Spark)
GenAI/LLM platform
IaC/GitOps
AI safety/governance
6+ years of formal engineering management experience, with experience leading multiple teams (managing managers is a plus)

Job Responsibility

Define and execute the technical strategy and roadmap for your area of ownership within the Prisma AIRS engineering organization, managing multiple teams and engineering managers
Build and lead a high-performing engineering organization. Excel at recruiting, mentoring, and retaining top-tier engineering talent and managers
Drive the architectural direction for a complex, highly scalable, cloud-native AI security platform within your domain. Make critical high-judgment decisions on technology, architecture, and long-term design
Partner seamlessly with senior leaders across Product Management, AI Research, UX, and other engineering leaders to deliver on a cohesive product roadmap
Clearly articulate technical vision, strategy, project status, and risks to senior stakeholders and executive leadership
Foster a results-oriented culture of innovation, execution, collaboration, and engineering excellence, empowering teams to solve challenging problems

Fulltime

New

Director, Data Engineering & AI

The Director, Data Engineering & AI Enablement is the senior-most technical lead...

Location

United States , Philadelphia

Salary:

150000.00 - 160000.00 USD / Year

Aramark

Expiration Date

Until further notice

Requirements

Expert-level, current proficiency in modern data engineering: Python, SQL, Spark, streaming frameworks (e.g., Kafka), orchestration tooling, and cloud data platforms (e.g., Snowflake, Azure) - able to write and review production code personally, not only at a conceptual level
Proven, personal experience developing and deploying machine learning models and generative AI/LLM applications into production - this should reflect direct authorship, not solely direction of others' work
Hands-on experience with MLOps tooling, CI/CD pipelines, containerization, and model monitoring frameworks
Experience working across diverse, often messy enterprise data domains (financial, labor/workforce, IoT/sensor, employee activity, client/operational) preferred over deep specialization in any single domain
Demonstrated track record of delivering AI products that generated measurable business outcomes
Strong engineering leadership skills with experience building and scaling delivery-oriented technical teams - paired with a clear, recent record as a top individual technical contributor, not a manager who has drifted away from the technical work
Comfortable moving fluidly between hands-on building (coding, prototyping, debugging production issues) and strategic work (roadmaps, architecture decisions, executive communication)
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
advanced degree in a quantitative discipline preferred
7+ years of data and software engineering experience, including 4+ years building AI/ML solutions and 2+ years in engineering leadership roles

Job Responsibility

Architect and build production-grade data pipelines (batch and streaming) for the highest-priority or highest-ambiguity initiatives — spanning financial, labor/workforce, and smart building sensor, employee work, and client/operational data — setting the technical pattern the team scales from
Write code, design model architectures, and personally develop and deploy machine learning models and generative AI applications (including LLM-based solutions), particularly for new or unproven use cases before delegating to the team
Stay hands-on in production: debug critical-path issues, review production-critical code and model logic, and remain a credible technical authority by virtue of doing the work, not just overseeing it
Define and execute the AI/ML roadmap for the line of business, identifying high-value use cases across the full data landscape — predictive maintenance, demand forecasting, workforce and labor optimization, financial and margin analytics, smart building performance, and intelligent client reporting
Provide overarching oversight and governance of enterprise data architecture standards, design patterns, and data modeling principles — ensuring all engineering solutions, vendor integrations, and AI workloads conform to the established framework
Review and approve solution designs across engineering, AI, and vendor deliverables for alignment with data architecture standards
serve as the senior technical authority for data design decisions
Evaluate emerging AI technologies and vendors
build-versus-buy analysis with a bias toward owned, scalable capabilities
Stand up and mature MLOps practices: CI/CD for data and models, automated testing, model monitoring, drift detection, and retraining pipelines

What we offer

medical
dental
vision
work/life resources
retirement savings plans like 401(k)
paid days off such as parental leave and disability coverage

Fulltime

New