Senior Lead Analytics Engineer of Marketing Technology

About the Role

Key Responsibilities

• Partner with the ops ingestion team to build and maintain scalable, efficient data pipelines using Microsoft Fabric and modern ELT tools.
• Design and implement relational data models that accurately represent business entities and their relationships across multiple marketing platforms.
• Normalize and structure data to reduce redundancy, improve query performance, and ensure consistency across reporting layers.
• Align data models with the Medallion architecture (Bronze, Silver, Gold layers) to support progressive refinement and analytics readiness.
• Integrate and transform data from Salesforce, Marketo, Adobe, and web analytics platforms into a unified, self-service reporting model.
• Ensure data accuracy, consistency, and availability across analytics platforms, including reverse engineering source applications for quality control.
• Develop intuitive dashboards and reports to support marketing strategy, campaign performance, and customer journey analytics.
• Collaborate with marketing strategists, campaign managers, dev-ops, and sales operations to understand data needs and deliver scalable solutions.
• Translate business questions into technical requirements and deliver insights to support decision-making.
• Establish and promote best practices in data development, testing, documentation, and version control.
• Evaluate and implement tools to improve data workflows, observability, and performance using the latest standards and ELT methodologies.
• Automate data validation, transformation, and deployment processes to ensure reliability and repeatability.

Requirements

• Bachelor's or master's degree in computer science, Data Engineering, Marketing Analytics, or a related field.
• 5-8+ years of experience in analytics or data engineering, preferably in a marketing or commercial analytics context.
• Deep expertise in SQL and experience with ELT or similar data modeling tools.
• Proficiency in Microsoft Fabric, including Lakehouses, CI/CD, notebooks, pipelines, and Power BI.
• Experience with Salesforce Marketing Cloud, Marketo, and Adobe Marketing Suite.
• Strong understanding of ELT/ETL processes, data warehousing, and data governance.
• Familiarity with Medallion architecture and cloud data platforms such as Adobe CDP, Analytics SDK, Tag Management, and code versioning.
• Experience with Git-based version control and CI/CD for data workflows.

Nice to Have

• Hands-on experience designing and deploying relational data models, including star schemas, snowflake schemas, and normalized structures.
• Ability to model complex relationships between marketing entities such as campaigns, leads, accounts, and engagement metrics.
• Knowledge of cloud platforms (Azure, AWS, or GCP).
• Strong working knowledge of Salesforce backend development tools, including Workbench and Object Relational Manager.
• Familiarity with marketing attribution models and customer journey analytics.

Qualifications

• Educational background in computer science, Data Engineering, Marketing Analytics, or a related field.
• Experience in analytics or data engineering roles, specifically in marketing or commercial contexts.

Benefits & Perks

• Comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks.
• Additional information about bonus structure and incentives available during the selection process.
• Location-based pay ranges with detailed salary brackets.
• Work environment that supports flexibility and personal well-being.