Data Engineering Manager

• Lead end-to-end data management across ingestion, transformation, integration, quality assurance, governance, and analytics enablement.
• Define and maintain standards for how data is sourced, processed, validated, documented, and used across platforms.
• Oversee the design and upkeep of data pipelines that move information across cloud and enterprise systems.
• Partner with technical and business teams to translate data needs into scalable solutions that support reporting and analysis.
• Monitor data quality, resolve issues, and help establish strong controls for accuracy, consistency, and reliability.
• Support data modeling and reporting efforts to ensure datasets are usable for dashboards, self-service analytics, and operational insights.
• Collaborate with analysts, engineers, and stakeholders to align data outputs with business definitions and reporting needs.
• Help guide data-related workstreams and coordinate priorities across cross-functional teams.
• Support retail media and marketing analytics initiatives by ensuring data is available for campaign performance and operational reporting.

• Experience in data management, data engineering, analytics, or business intelligence.
• Strong SQL skills for querying, validation, and analysis.
• Hands-on experience with ETL/ELT processes, data integration, and transformation workflows.
• Familiarity with cloud data platforms such as Google BigQuery, Snowflake, and Microsoft Azure.
• Working knowledge of Looker and LookML or semantic data modeling concepts.
• Understanding of data quality, governance, metadata management, and compliance practices.
• Experience using Python-based data tools such as Pandas, NumPy, or PySpark.
• Strong problem-solving, communication, and stakeholder management skills.
• Ability to manage multiple priorities while maintaining data accuracy and consistency.

Preferred Skills

• Experience supporting retail media networks, digital media, ad tech, or marketing analytics.
• Background in media, retail, convenience store, or promotional data environments.
• Experience guiding cross-functional data delivery efforts or coordinating technical workstreams.
• Familiarity with KPI frameworks, metric governance, and reporting standards.
• Ability to connect technical details with business goals and communicate clearly with diverse audiences.

Horizontal is committed to fostering an inclusive, respectful, and collaborative workplace where different perspectives are valued. We welcome candidates from all backgrounds and encourage applicants who can contribute to a culture of equity, belonging, and continuous improvement.