AI Google Cloud Platform Engineer (SQL/Python)

Role : AI Google Cloud Platform Engineer

Location : New York (its day 1 onsite)

Description

We are seeking a highly skilled and innovative Data & AI Engineer to design, build, and deploy scalable data solutions and AI-driven systems. This role bridges data engineering and machine learning, enabling advanced analytics, automation, and intelligent decision-making across the organization.

The ideal candidate has strong expertise in data architecture, machine learning pipelines, and production-grade AI systems

You will collaborate closely with analytics, engineering, product, and business stakeholders to deliver reliable, real-time, and actionable data that enhance the Card Member lounge journey. This role requires strong expertise in cloud data engineering, data modeling, pipeline orchestration, and enterprise data governance, along with a passion for building modern, resilient, and well-governed data ecosystems.

How will you make an impact in this role?

• Design, build, and maintain scalable data pipelines (batch and streaming) supporting real-time / near-real-time data integration for Lounge Services Analytics use cases.
• Develop and optimize ETL/ELT processes for structured and unstructured data from various backend DBs and sources including MongoDB, PostgreSQL, APIs, and third-party systems.
• Architect and manage cloud-native data infrastructure/warehouses within Google Cloud Platform (BigQuery) environments.
• Orchestrate Data Transformations with Cloud Composer / Airflow DAGs.
• Enable trusted, analytics-ready datasets to support Tableau dashboards and analytics.
• Experience with observability and monitoring tools such as Datadog, CloudWatch, Prometheus, or similar platforms.
• Implement data monitoring, logging, and observability frameworks to ensure data quality, integrity, governance and security standards are met.
• Build AI / ML models and integrations to support predictive & personalized use cases including lounge recommendations, capacity forecasting, and lounge optimization
• Collaborate with cross-functional teams including Analytics, Product & Business to define data requirements and deliver solutions.
• Optimize data storage and processing for performance and cost-efficiency (partitioning and indexing solutions).
• Implement and enforce data governance standards, including data classification, access controls, and retention policies.
• Develop and maintain metadata management practices, including data lineage, catalog documentation, and business glossary alignment.

Minimum Qualifications

• Bachelor s degree in computer science, data engineering, other technical discipline, or equivalent work experience. (Advanced degree preferred)
• 4-6 years of Data Engineering experience with proven hands-on experience in Big Data technologies and Business Intelligence tools.
• Understanding of Agile or other rapid application development methods. Exposure to design and coding across one or more platforms and languages as appropriate.
• Exposure to application design, software development, and automated testing methodologies.
• Experience with CI/CD practices using Git, Jenkins, and code integration/review processes.
• Backend platform: Experience building data connectors with relational & nonrelational backend databases including MongoDB, PostgreSQL, and custom API Connectors.

1. Google Cloud Platform Expertise: Hands-on experience with Google Cloud Platform services like BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer (Airflow DAGs), and Cloud Functions.
2. Programming Languages: Strong proficiency in Python and SQL for data ingestion, processing, and manipulation.
3. ETL/ELT: Experience with ETL/ELT processes and data warehousing concepts.
4. Data Modeling: Understanding of data modeling principles and techniques.
5. Cloud Technologies: Knowledge of cloud computing concepts and standard processes.
6. AI / ML: Experience with Statistical / Predictive Modeling, Machine Learning, A/B testing, and designing feature experiments
7. AI Frameworks: Experience supporting AI integrations ML pipelines including BigQuery ML, or other Google Cloud Platform AI/ML services
8. BI Tools: Experience working with BI tools including Tableau and PowerBI
9. Problem-Solving: Excellent analytical and problem-solving skills.
10. Experience working with large datasets, ODL, identifying ingestion issues and proactively collaborating to resolve data related issues.
11. Passion for travel/airports a plus.

Preferred Qualifications

• Experience with LLMs, Generative AI, or NLP systems.
• Familiarity with feature stores and model registries.
• Knowledge of data governance and compliance standards.
• Experience with real-time analytics and streaming architectures.
• Certifications in cloud or AI technologies.

Key Competencies

• Strong analytical and problem-solving skills.
• Ability to design scalable, production-grade systems.
• Excellent communication and cross-functional collaboration skills.
• Ownership mindset and continuous improvement orientation.
• Ability to balance experimentation with operational reliability.