Senior Data Engineer

About True As one of the fastest-growing organizations in the talent advisory space, True is a global platform of companies that optimizes value creation by placing executive talent, developing business leaders, creating diverse and inclusive networks, and using innovative technology to advance executive talent priorities. Our clients include innovative growth brands backed by leading Venture Capital and Private Equity firms as well as established public organizations. With offices in North America, EMEA, & APAC, our team of industry and functional experts leverage their deep networks to connect companies with leading talent to transform businesses and industries. True was founded on the belief that doing good is the pathway to doing well. Our growth and success are a by-product of our values treating people right, listening to new ideas and keeping culture at the heart of our business. Overview We are seeking an experienced Senior Data Engineer to design and build the next-generation data architecture for our multi-tenant SaaS platform. This role will be responsible for architecting a comprehensive data warehouse, analytics framework, and integration platform that enables full data interoperability across our ecosystem. This hands-on role will maintain and enhance our Snowflake and dbt environments, build and manage data pipelines, and handle operational data infrastructure tasks to relieve pressure on DevOps. The ideal candidate is a strong AWS practitioner who writes code daily, thinks through data landing patterns, and can independently spin up infrastructure components. The ideal candidate will have deep expertise in modern data architectures, ETL/ELT pipelines, and building scalable data platforms that support both operational and analytical workloads. Strong AWS skills and implementation capabilities are the core requirements, while data warehouse design experience is valuable but not a hard requirement. Location This is a remote position, but preference will be given to applicants in the Eastern time zone, especially in traveling distance to the company headquarters in Philadelphia, PA Key Responsibilities Data Architecture & Pipeline Development

Design and build scalable data pipelines in AWS for data ingestion and transformation

Build, deploy, and maintain ETL/ELT pipelines using AWS services (Lambda, Step Functions, EventBridge, etc.)

Design and implement data landing patterns for various source systems and formats

Implement data quality checks, error handling, and monitoring for pipeline reliability

Create reusable pipeline patterns and templates for common data integration scenarios, potentially leveraging modern data tools like dbt to handle transformations at scale

Troubleshoot and resolve issues with data pipelines, transformations, and warehouse performance

Monitor and optimize query performance, warehouse utilization, and pipeline costs

AWS Infrastructure & Operations

Independently spin up and configure AWS resources including S3 buckets, IAM roles, Lambda functions, and data services

Manage infrastructure as code using Terraform or CloudFormation for data-related resources

Handle operational data infrastructure tasks that would otherwise burden the DevOps team

Integrate with various data sources (APIs, databases, file systems) and destinations

Optimize data infrastructure for performance, cost, and reliability

DevOps Collaboration & Team Support

Serve as the technical bridge between DevOps and the data team

Collaborate on infrastructure decisions, security policies, and operational procedures

Take ownership of data infrastructure tasks to reduce DevOps workload

Document data infrastructure patterns and operational runbooks

Participate in on-call rotation for data pipeline and infrastructure issues

Contribute to data warehouse design and dimensional modeling when needed

Help design data models that support analytical workloads

Assist with data governance and quality frameworks

Technical Stack Knowledge

AWS Expertise: 5+ years of hands-on experience with AWS services including S3, Lambda, IAM, RDS, Step Functions, EventBridge, and data-related services

Implementation Focus: Strong preference for candidates who write code daily and can independently implement solutions

Snowflake Operations: Experience maintaining and optimizing Snowflake environments, warehouses, and query performance

dbt Proficiency: Hands-on experience with dbt for data transformations, including model development, testing, and project management

ETL/ELT Pipelines: Proven experience building, deploying, and maintaining data pipelines using AWS services and modern data tools

Infrastructure as Code: Experience with Terraform or CloudFormation for provisioning and managing AWS resources

Programming: Strong Python and SQL skills required; ability to write production-quality code

Additional Qualifications

Strong problem-solving skills and ability to work independently

Experience with operational data infrastructure and on-call responsibilities

Knowledge of AWS security best practices and IAM policies

Experience thinking through data landing patterns and ingestion strategies

Strong communication skills for collaborating with DevOps, engineering, and data teams

Ability to balance speed of delivery with operational reliability

Benefits & Perks

Time Off: Unlimited PTO because we trust you to manage your time and recharge when you need it. We encourage our team to truly disconnect and come back refreshed.

Comprehensive Benefits: Our generous benefits package includes medical and dental coverage, competitive 401(k) matching to help you plan for the future, plus gym subsidies to support your health and wellness goals.

Balanced Growth: We offer intellectually challenging work on meaningful problems while respecting your work/life balance. We believe the best work happens when people have time for life outside of work.