About the Role
As the Director, Data Engineering (GCP), you will lead our Google Cloud data engineering function within the Data and Analytics team. You will play a pivotal, highly visible leadership role driving modern data architecture, advanced ingestion, real-time analytics, Generative AI infrastructure, and enterprise data governance—all natively powered by Google Cloud Platform. We are looking for a hands-on, strategic technology leader who combines deep GCP technical expertise with a passion for mentoring high-performing engineering teams. You will collaborate closely with client executives, lead solution delivery, and build scalable, business-critical data foundations that power advanced analytics, AI/ML and enterprise digital transformations.
Responsibilities
- Define and execute the technical vision for our GCP Data Engineering functional practice, setting standards for data modeling, ingestion pipelines, lakehouse architectures, and cloud cost optimization (FinOps).
- Oversee the end-to-end design and deployment of enterprise data platforms using core Google Cloud services, including BigQuery, Dataflow, Dataproc, Pub/Sub, Dataplex (Knowledge Catalog), and Cloud Storage.
- Partner directly with the Data Science and AI functional practice within the team to design and build production-grade data pipelines, vector search infrastructure, and retrieval-augmented generation (RAG) frameworks powered by the Gemini Enterprise Agent Platform (i.e., Vertex AI) and BigQuery ML.
- Lead the implementation of GCP-native data governance, security, and compliance frameworks—establishing data lineage, row/column-level access control, and metadata management via Knowledge Catalog and IAM.
- Serve as the GCP Data SME during pre-sales activities, client workshops, and enterprise delivery engagements—translating complex business needs into modern GCP and Generative AI architectures.
- Establish CI/CD, IaC (Terraform), continuous data testing, and automated monitoring (Dataflow/BigQuery logs) to ensure maximum reliability, security, and accuracy across client data assets.
- Manage, mentor, and scale an agile team of GCP Data Engineers. Drive talent acquisition, skill development, Google Cloud certification pathways, and performance management aligned with practice growth.
Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
- 10+ years in data engineering and enterprise architecture, with 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 (BigQuery, Dataflow, Pub/Sub, Cloud Composer/Airflow, Dataproc, Cloud Storage).
- Advanced proficiency in SQL and Python.
- Practical experience deploying data pipelines for LLMs, vector search indexing, and GenAI workflows alongside frameworks like Apache Beam, PySpark, and NoSQL databases.
- Proven track record in modern data modeling, ELT/ETL pipeline architecture, real-time streaming processing, and building Medallion/Lakehouse architectures on cloud.
- Strong understanding of Terraform for GCP infrastructure, CI/CD pipelines, and enterprise data security practices (IAM, KMS, Knowledge Catalog governance).
- Exceptional presentation, consultative, and stakeholder management skills—with a demonstrated ability to translate quantitative insights and AI capabilities into strategic business outcomes.
- Google Cloud Professional Data Engineer certification is strongly preferred.
Skills
- GCP
- Data Engineering
- Google Cloud Platform
- Data Architecture
- Ingestion
- Real-time Analytics
- Generative AI
- Enterprise Data Governance
- BigQuery
- Dataflow
- Dataproc
- Pub/Sub
- Dataplex
- Cloud Storage
- Data Science
- AI/ML
- Vertex AI
- BigQuery ML
- IAM
- CI/CD
- IaC
- Terraform
- SQL
- Python
- LLMs
- Vector Search
- Apache Beam
- PySpark
- NoSQL
- ELT/ETL
- Streaming Processing
- Medallion Architecture
- Lakehouse Architecture
- DevOps
- Data Security
- KMS
- Knowledge Catalog
- Stakeholder Management
Location
- Remote
Work Type
- Remote
- Full-time
Experience Level
- Director
- 10+ years in data engineering and enterprise architecture
- 5+ years of direct people management experience
- 4+ years of hands-on GCP experience
Education Level
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
Salary/Compensations
- $165,000 - $195,000 a year
Benefits
- Eligible to participate in an annual incentive program.
- Medical, dental, vision
- Tax-advantaged health care accounts
- Financial and income protection benefits
- Paid time off (PTO) and wellness time off.
About the Company
- At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.
- TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.
- TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.
Equal Opportunity
- TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.
