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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Architect High-Impact Data Systems - **Company:** FanDuel Inc - **Location:** Jersey City, United States - **Experience:** Expert - **Salary:** $159,000.0 - $208,950.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Software as a Service, Software Quality, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Digital Assets, Distributed Systems, Interoperability, Python (Programming Language), Machine Learning, SQL Databases, Data Streaming, Google Cloud, Apache Spark, Reliability of Systems, Data Strategy, Apache Kafka, Data Management, Terraform, Data Pipelines, Serverless Computing, Databricks, Programming Languages - **Published:** August 4, 2026 - **Apply:** https://www.dice.com/job-detail/4cbc7640-f0b2-4410-b526-64f62c1b2645 ## About the Role * 8+ years of experience in data engineering or a related field, with a focus on building scalable data systems and platforms that support ML, Analytics and AI use cases. * Strong expertise in modern data tools and frameworks such as Spark, Airflow, Kafka, Databricks, and cloud-native services (AWS, Google Cloud Platform, or Azure) * Deep understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures * Proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java) * Demonstrated experience owning complex technical systems end-to-end, from design through production * Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences, * Experience designing data platforms that support analytics, machine learning, and operational workload * Familiarity with data governance, privacy, and compliance frameworks * Background in customer-centric or product-driven environments (e.g., digital, eCommerce, SaaS) * Experience with infrastructure-as-code and data platform observability (e.g., Terraform) ## Description We are seeking a Staff Data Engineer to lead the technical design and implementation of our most critical data infrastructure and products. In this senior-level individual contributor role, you'll be responsible for designing scalable systems, setting data architecture standards, and solving complex technical challenges that power analytics, data science, and business function use cases across the company. You will work closely with engineers, product managers, and business stakeholders to architect data solutions that are performant, reliable, and built with a long-term, customer-centric mindset. If you're excited by this challenge and want to work within a dynamic company, then we'd love to hear from you. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play Architect High-Impact Data Systems * Design and implement scalable, maintainable, and secure batch & streaming data pipelines and architectures that support enterprise-wide data needs * Define standards for data modeling, data product design, and pipeline orchestration using modern tools and cloud-native technologies * Collaborate with cross-functional stakeholders to translate business and analytical requirements into end-to-end data solutions * Drive Engineering Best Practices * Establish and enforce engineering best practices around code quality, testing, documentation, and deployment * Contribute to the evolution of the data platform, ensuring systems are modular, interoperable, and resilient * Lead technical design and code reviews, mentoring peers and raising the bar for engineering excellence Lead Strategic Initiatives * Partner with data platform teams, analytics, and data science to deliver reusable data assets and shared infrastructure * Identify and resolve architectural bottlenecks in the current data platform and propose improvements that reduce complexity and boost performance * Drive initiatives that improve data quality, lineage, observability, and system reliability Influence and Collaborate Across Teams * Act as a technical liaison between engineering, product, and analytics teams, ensuring alignment on architecture and data strategy * Provide technical leadership and guidance to other data engineers and contribute to the team's overall growth and maturity * Help evaluate and onboard new technologies, frameworks, and practices to keep our stack modern and efficient ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)