Senior Data Engineer

Job Summary

IDEA (IPH Data & Enterprise Analytics) is IPH’s enterprise data organization responsible for building and operating the data platform, governance framework, and analytics capabilities that power decision-making across all brands. The team brings together experienced data leaders and engineers from across IPH and beyond to create a unified, enterprise-scale data function.

About the Role

The Senior Data Engineer will play a critical role in shaping IPH’s data ecosystem, building the platforms and pipelines that enable smarter decisions across analytics, product, and operations. This person will bring both technical excellence and a collaborative mindset, designing scalable, high-performance data solutions while ensuring reliability, quality, and accessibility.

Responsibilities

• Design, build, and scale cloud-based data platforms and pipelines (batch and streaming) to support analytics, product, and operational use cases.
• Own critical data workflows, ensuring reliability, performance, and quality across the data ecosystem.
• Implement modern data solutions using tools like dbt, Databricks, ELT frameworks, and other cloud platforms (AWS, Snowflake).
• Apply best practices in CI/CD, Git, testing, monitoring, and infrastructure-as-code.
• Collaborate effectively with cross-functional teams, balancing technical rigor with strong interpersonal skills to translate business needs into scalable, accessible data solutions.
• Lead technical initiatives with empathy and influence, mentoring team members, fostering trust, and promoting shared standards and engineering excellence.

Qualifications

• 6+ years building and scaling cloud-based data platforms and pipelines.
• Strong Python and SQL expertise.
• Strong SQL and Python skills, with a focus on automation, performance, and reliability.
• Experience with large-scale datasets, structured and unstructured.
• Hands-on experience with modern data stack tools (dbt, Airflow, Fivetran, Databricks) and streaming/event-driven systems (Kafka, Kinesis).
• Solid experience with AWS data services and ELT/ETL workflows.
• Proficiency in CI/CD, Git, and infrastructure-as-code.
• Proven ability to lead projects, influence stakeholders, and mentor others.

Preferred Qualifications

• Experience designing data platforms at scale in a high-growth or startup environment.
• Familiarity with customer-centric tools like Segment, Stripe, Salesforce, or mParticle.
• Experience supporting analytics, machine learning, or personalization initiatives with robust data foundations.
• Knowledge of data privacy and compliance best practices (e.g., GDPR, CCPA).
• Prior contributions to open-source projects, internal data tooling, or technical blogs/presentations.

Benefits

All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following:

• Comprehensive full medical, dental and vision Insurance
• Basic Life Insurance at no cost to the employee
• Company paid short-term and long-term disability
• 12 weeks of 100% paid Parental Leave
• Health Savings Account (HSA)
• Flexible Spending Accounts (FSA)
• Retail savings plan
• Personal Paid Time Off
• Paid holidays and company-wide Wellness Day off
• Paid time off to volunteer at nonprofit organizations
• Pet friendly office environment
• Commuter Benefits
• Group Pet Insurance
• Employee Assistance Program (EAP)