Senior Data Engineer (HYBRID)

C-4 AnalyticsWakefield, MA
Hybrid

About The Position

We’re looking for a Senior Data Engineer to serve as the foundational architect of our AI infrastructure. In this role, you will be a key pillar of the AI team, responsible for transforming raw, disparate data into scalable organizational intelligence. You aren’t just building pipelines; you are designing the enterprise-grade framework that powers C-4 Analytics' digital marketing platforms, ensuring our data architecture is as innovative as the solutions it supports. As a Senior Data Engineer, you are expected to be a master of data orchestration. You are a self-starter who navigates the complexities of Snowflake, AI pipelines, and unstructured data environments with precision. You understand that your job is to connect the dots between raw sources and production-ready solutions, implementing best practices in sharding, indexing, and normalization to optimize retrieval at scale. You’ll work across cross-functional teams to align data architecture with business objectives, ensuring every system you design is elegant, documented, and mission-critical.

Requirements

  • Fluent in Python and SQL.
  • Deep understanding of sharding, replication, and indexing.
  • Confident Cloud Navigator within the AWS ecosystem.
  • Master of Snowflake.
  • Over 5 years of professional experience in AI and machine learning.
  • Proven track record of integrating LLMs and NLP tasks with enterprise data platforms.
  • Proficient in the modern SDLC for AI projects.
  • Empathetic communicator who can work independently with minimal supervision while fostering teamwork across departments.
  • Ability to find the right questions that others haven't thought to ask, identifying and resolving problems with a sense of urgency and resourcefulness.

Nice To Haves

  • Experience with JavaScript (Node/Lambdas).
  • Experience with MongoDB (Atlas).
  • Experience with Cursor AI tools.

Responsibilities

  • Data Architecture & Strategy: Lead by example in designing and maintaining high-performance data systems. You aren’t just moving data; you are implementing best practices in sharding, replication, and indexing to ensure our database architecture is scalable, cost-effective, and optimized for complex access patterns.
  • Enterprise Orchestration: Build and manage production-ready AI pipelines that turn disparate, unstructured data into clean, normalized organizational intelligence. You bridge the gap between batch and streaming processes, connecting various sources to Snowflake with precision and reliability.
  • AI-Driven Innovation: Core Requirement. You are a pioneer in the AI space, fully proficient in using AI development assistants to accelerate the transition from cutting-edge proof-of-concepts to robust, production-ready solutions. You leverage these tools to refactor data flows and maintain an elite standard of quality.
  • Enablement & Collaboration: Craft intuitive tools and frameworks that empower our data scientists and analysts to do their best work. You act as a strategic partner to cross-functional teams, ensuring our data storage and retrieval systems are perfectly aligned with broader business objectives.
  • Documentation & Leadership: Act as the visionary for our information architecture. You design elegant, scalable solutions and document them with such clarity that others can easily follow your lead. You provide the technical guidance and architectural "blueprints" necessary for the team to grow and succeed.

Benefits

  • Competitive compensation commensurate with experience and qualifications.
  • Salary range: $130,000 - $160,000.
  • Flexible and negotiable salary based on individual qualifications and fit for the role.
  • Opportunity to discuss salary expectations during the interview process.
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