Sr. Data Engineer

Role Description

We are seeking a seasoned Senior Data Engineer to architect, enhance, and sustain our primary data infrastructure. In this role, you will be responsible for creating dependable pipelines, overseeing cloud-based data warehouses, and guaranteeing that our machine learning and analytics units have high-availability access to data.

A key component of this will be creating a secure data lake architecture with fine-grained, role-based access controls. As a technical authority and practice lead, you will function with significant autonomy to define engineering benchmarks, mentor fellow engineers, and bolster the capabilities of our data platform. You will turn difficult technical and organizational hurdles into viable data strategies and scalable solutions, taking full ownership of the enterprise data ecosystem's reliability, performance, governance, and long-term health.

Qualifications

• Bachelor’s degree or equivalent experience typically requires an advanced degree or equivalent experience and a minimum of 10+ years of relevant data engineering experience in enterprise environments.
• Mastery-level knowledge of the data engineering field and modern data platform technology delivery, with deep experience in one or more key domains such as lakehouse architecture, distributed data processing, cloud data warehousing, data transformation frameworks, or data governance.
• Demonstrated ability to build and complete implementation plans for complex, enterprise-scale data platforms and pipelines.
• Proven experience developing and implementing standards, processes, and operational plans that improve stability, resilience, security, and performance of critical data platforms.
• Deep expertise with cloud-based data platforms - Azure Data services, Databricks, Snowflake and DBT cloud.
• Strong foundation in enterprise data architecture fields and the development of secure, scalable, aligned technology solutions.
• Advanced experience with CI/CD pipelines for data workloads, infrastructure as code, cloud-native operational models, and modern version control strategies.
• Strong proficiency in programming using data processing tools like Azure Data Factory, Fivetran, Databricks notebook, DBT cloud, ETL/ELT frameworks, as well as programming languages such as Python, SQL, Spark (PySpark/Scala) and scripting languages common to cloud data environments.
• Demonstrated success leading large-scale and complex data modernization initiatives, including migration from legacy data warehouses to modern cloud-based data platforms.
• Experience managing and reviewing vendors or offshore engineering work to ensure alignment with enterprise data standards, architecture principles and long-term sustainability.
• Excellent communication and influencing skills, with the ability to clearly and succinctly translate complex data architecture concepts into actionable recommendations for senior leadership, technical teams, and non-technical partners across multiple functions.
• Demonstrated ability to enable AI through data, with a strong understanding of AI use cases and the data architecture, quality, governance, lineage, and scalability requirements necessary to successfully support AI initiatives.
• Strong analytical and problem-solving abilities, demonstrating a dedication to operational excellence, continuous learning, and improving data engineering practices.
• May mentor, review, and delegate work to more junior engineers, building capability and maturity across the data engineering group.

Requirements

• Day-to-day hands-on execution and implementation of solutions - using modern data platforms, initiatives, processes and practices.
• Be responsible for technical direction for large or multi-team delivery efforts, ensuring application of modern data engineering and DevSecOps practices.
• Conduct architectural and technical reviews of solution designs, code, and delivery approaches to raise quality and consistency.
• Champion automation, observability, and operational excellence to ensure platforms remain reliable, performant, and cost effective.
• Pilot emerging technologies and guide their adoption into stable enterprise capabilities when appropriate.
• Drive continuous improvement of engineering practices, tooling, automation and operational processes.
• Based on the needs of the company, you may be required to work occasional nights and weekends.
• All other duties as assigned.

Compensation

$150,000 - $200,000, relative to skills and experience

Location

We are headquartered in Ithaca, NY and have a remote workforce in other locations throughout the United States.

Benefits

• Competitive Compensation
• Discretionary PTO & Flexible Scheduling
• Stock Options
• 401(k) Match
• Medical, Dental and Vision Coverage for you and your dependents
• FSA & HSA Plans
• Employer-paid Life Insurance
• Employer-paid LTD and STD for Parental and Family Care
• 11 Paid Holidays
• Employee Resource Groups
• Educational Assistance Program
• Professional Development Opportunities
• And more…

Company Values

• Use the team
• Figure it out and own it
• Aim for elegant simplicity
• Empower diversity & inclusivity
• Do the right thing
• Be scrappy