Director, Data Engineering – Google Cloud Platform

🔥 0 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $165k - $195k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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👻 Ghost score 2%

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TTEC Digital

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

TTEC Digital is a leader in customer experience transformation, combining technology and human empathy to enhance customer interactions. With a focus on artificial intelligence, contact center technology, and customer relationship management, TTEC Digital delivers tailored solutions for mid-market digital transformation. Their comprehensive offerings include data analytics, CX strategy and design, and managed services that optimize customer engagements across various industries.

📋 Description

• Lead the Google Cloud data engineering function within the Data and Analytics team • Define and execute the technical vision for the GCP Data Engineering functional practice • Set standards for data modeling, ingestion pipelines, lakehouse architectures, and cloud cost optimization (FinOps) • Oversee end-to-end design and deployment of enterprise data platforms using Google Cloud services • Partner with Data Science and AI teams to build production-grade data pipelines, vector search infrastructure, and RAG frameworks using Vertex AI/Gemini Enterprise Agent Platform and BigQuery ML • Lead GCP-native data governance, security, compliance, data lineage, access control, and metadata management • Serve as the GCP Data SME during pre-sales activities, client workshops, and enterprise delivery engagements • Translate complex business needs into modern GCP and Generative AI architectures • Establish CI/CD, Terraform-based infrastructure as code, continuous data testing, and automated monitoring • Manage, mentor, and scale an agile team of GCP Data Engineers • Drive talent acquisition, skill development, Google Cloud certification pathways, and performance management • Collaborate with client executives and lead solution delivery for scalable data foundations supporting analytics, AI/ML, and digital transformation

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field • 10+ years of experience in data engineering and enterprise architecture • 5+ years of direct people management experience leading agile engineering teams • 4+ years of hands-on experience designing and building production data solutions natively on Google Cloud • Deep experience with BigQuery, Dataflow, Pub/Sub, Cloud Composer/Airflow, Dataproc, and Cloud Storage • Advanced proficiency in SQL and Python • Practical experience deploying data pipelines for LLMs, vector search indexing, and GenAI workflows • Experience with Apache Beam, PySpark, and NoSQL databases • Expertise in modern data modeling, ELT/ETL pipeline architecture, real-time streaming processing, and Medallion/Lakehouse architectures • Strong understanding of Terraform for GCP infrastructure and CI/CD pipelines • Knowledge of enterprise data security practices, including IAM, KMS, and Knowledge Catalog governance • Exceptional presentation, consultative, and stakeholder management skills • Ability to translate quantitative insights and AI capabilities into strategic business outcomes • Google Cloud Professional Data Engineer certification is strongly preferred

🏖️ Benefits

• Annual incentive program • Medical, dental, and vision benefits • Tax-advantaged health care accounts • Financial and income protection benefits • Paid time off (PTO) • Wellness time off