Manager, Data Integrations

IHG•Atlanta, GA

2d•$106,000 - $120,000•Hybrid

About The Position

The Manager, Data Integrations designs and enhances complex data pipelines and data models to ensure optimal performance, cost efficiency, and adherence to governance standards. Serves as a senior technical expert and mentor within the team. Your day to day Design, implement, and optimize scalable data pipelines for analytics, reporting and ML. Develop complex data models and transformations in BigQuery aligned with semantic and reporting needs. Apply data governance, lineage tracking, and schema evolution practices. Tune query performance and control costs in GCP environments. Automate data ingestion from multiple sources using orchestration tools. Ensure data models support reporting and ML use cases. Align on orchestration and deployment practices with the technology and engineering teams. Collaborate on testing and monitoring frameworks. Mentor junior engineers and review code for quality and performance. Collaborating with programmers, engineers, analysts and organizational leaders to identify opportunities for process improvements and recommend system modifications, acting as a product owner. Consult and advise Sr. management and/or the customer on technical aspects of major programs to meet long-term goals and translate business needs to technical specifications.

Requirements

Bachelor's in computer science, information technology, information systems or a related field; or an equivalent combination of education and work-related experience.
3-5 years in data engineering with production systems.
SQL (advanced joins, analytical functions, performance profiling).
Python (data processing, API integration, scheduling).
BigQuery advanced (partition/clustering strategies, materialized views, cost controls).
Orchestration (Airflow, Cloud Composer, or similar).
Dataflow/Beam for streaming/batch pipelines.
Data quality and monitoring.

Responsibilities

Design, implement, and optimize scalable data pipelines for analytics, reporting and ML.
Develop complex data models and transformations in BigQuery aligned with semantic and reporting needs.
Apply data governance, lineage tracking, and schema evolution practices.
Tune query performance and control costs in GCP environments.
Automate data ingestion from multiple sources using orchestration tools.
Ensure data models support reporting and ML use cases.
Align on orchestration and deployment practices with the technology and engineering teams.
Collaborate on testing and monitoring frameworks.
Mentor junior engineers and review code for quality and performance.
Collaborating with programmers, engineers, analysts and organizational leaders to identify opportunities for process improvements and recommend system modifications, acting as a product owner.
Consult and advise Sr. management and/or the customer on technical aspects of major programs to meet long-term goals and translate business needs to technical specifications.