Job Description
The role involves designing, building, and maintaining complex data pipelines and infrastructure to support marketing analytics, AI/ML initiatives, and automation efforts, enabling data-driven decision-making and operational efficiency across the organization.
Key Responsibilities
- Architect and maintain complex marketing databases, datasets, pipelines, and Customer Data Platform (CDP) for segmentation, targeting, automation, and analytics.
- Design and implement data infrastructure for AI and ML initiatives, including building pipelines for Generative AI, feature stores, and vector database integrations.
- Support the automation of manual tasks within marketing using AI to improve efficiency.
- Manage high-volume data pipelines, ensure their SLAs, and improve data quality and efficiency.
- Facilitate data integration and transformation for interoperability between applications, data marts, AI models, and CDP environments.
- Partner with non-technical stakeholders to translate business questions into technical data solutions.
- Write optimized data transformations in Python and SQL for data products used by various teams.
- Mentor junior engineers, conduct code reviews, and establish best practices for data engineering.
Requirements
- Minimum of 5 years of working experience in a data engineering or data engineering adjacent role.
- Expert knowledge of Python and SQL with strong hands-on data modeling experience.
- Proven experience engineering data pipelines for AI ML workloads, including preparing unstructured data for LLMs, working with vector stores, or building feature engineering pipelines.
- Proven experience building and scaling Retrieval-Augmented Generation (RAG) infrastructure, including managing vector database integrations and data-to-embedding pipelines for LLM applications.
- Deep experience with data warehouse technical architectures, infrastructure components, ETL/ELT processes, and reporting analytic tools.
- Hands-on experience working with modern data technologies such as Databricks, DBT, Google BigQuery, Redshift, RDS, Snowflake, or similar solutions.
- Demonstrated ability to independently lead requirement gathering sessions, bridging the gap between business needs and technical implementation.
- Experience in having exploratory conversations with stakeholders to identify automation opportunities across marketing.
- Familiarity with customer, marketing, and web data, including integrating data from core Sales and Marketing platforms such as Marketing Automation, CRM, and web analytics.
- Self-starter, motivated, responsible, innovative, and technology-driven individual who performs well both independently and as part of a team.
- Good communication and project management skills to relay findings and solutions across technical and non-technical audiences.
Benefits & Perks
Annual Base Salary ranging from 118,107.50 USD to 178,650 USD
Flexible working model supporting remote, hybrid, or in-office work
Comprehensive health and parental leave plans
Professional development stipend
Performance-based bonus variable pay and equity for eligible roles
Long-term career development opportunities
Inclusive work environment with accommodations for disabilities
Ready to Apply?
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