Job Description
The role involves designing, maintaining, and optimizing complex data pipelines and infrastructure to support marketing analytics, AI/ML initiatives, and business automation, while collaborating with stakeholders and mentoring junior engineers.
Key Responsibilities
- Architect and maintain marketing databases, datasets, pipelines, and Customer Data Platform (CDP) for advanced 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 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.
- Develop and optimize data transformations using Python and SQL for use by customer systems and internal 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.
- Ability to have exploratory conversations with stakeholders to identify automation opportunities across marketing.
- Experience 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 a team member.
- Proactive problem solver with good communication and project management skills to relay findings and solutions across technical and non-technical audiences.
Benefits & Perks
Competitive total compensation package including base salary, bonus, RSUs, and performance-based equity refresh awards
Remote and flexible working arrangements
Health benefits
Opportunities for career development and advancement
Inclusive work environment with accommodations for persons with disabilities
Ready to Apply?
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