Director, Data Engineering – GCP

🔥 15 hours ago

🇨🇦 Canada – Remote

💵 $210k - $240k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• 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 • 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 • 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 • Establish CI/CD, Terraform-based IaC, 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

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field • 10+ years 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 • 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 • Proven track record in modern data modeling, ELT/ETL pipeline architecture, real-time streaming processing, and Medallion/Lakehouse architectures • Strong understanding of Terraform for GCP infrastructure, CI/CD pipelines, and enterprise data security practices including IAM, KMS, and Knowledge Catalog governance • Exceptional presentation, consultative, and stakeholder management skills • Google Cloud Professional Data Engineer certification is strongly preferred

🏖️ Benefits

• Great Place To Work 2024-2025 certified employer • Equal opportunity and diverse, inclusive workforce