Director, Data Engineering (GCP)

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.

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.

What you'll be doing:

• Functional Leadership: 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 ).
• GCP Solution Delivery: 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 .
• GenAI & ML Enablement: 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 .
• Data Governance & Security: 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 .
• Client & Executive Partnership: 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.
• Quality & Engineering Excellence: 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.
• Team Development & Strategy: 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.

Skills and experience you will bring:

• Education: Bachelor's degree in Computer Science , Engineering , Mathematics , or a related quantitative field.
• Core Experience: 10+ years in data engineering and enterprise architecture, with 5+ years of direct people management experience leading agile engineering teams.
• Deep GCP Mastery: 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 ).
• Generative AI & Modern Stack Skills: 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.
• Architectural Expertise: Proven track record in modern data modeling, ELT/ETL pipeline architecture, real-time streaming processing, and building Medallion/Lakehouse architectures on cloud.
• DevOps & Governance: Strong understanding of Terraform for GCP infrastructure, CI/CD pipelines, and enterprise data security practices ( IAM , KMS , Knowledge Catalog governance ).
• Client Engagement & Business Acumen: Exceptional presentation, consultative, and stakeholder management skills—with a demonstrated ability to translate quantitative insights and AI capabilities into strategic business outcomes.
• Certifications: Google Cloud Professional Data Engineer certification is strongly preferred.