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Director - Data Engineering (Google Cloud Platform)
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TTEC Digital·USA·6 дн назад

Director - Data Engineering (Google Cloud Platform)

от 16 250 $
на 464% выше медианы рынка
≈ от 1,4 млн ₽
🌍 УдалённоSeniorПолная занятость🌐 Глобал
от 16 250 $≈ от 1,4 млн ₽
Нажмите на сигнал, чтобы увидеть, на чём он основан

Наша компания

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. We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries. 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. Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications. #LI-Remote

Чем предстоит заниматься

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

Наши требования

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
$165,000 - $195,000 a year
This position is eligible to participate in an annual incentive program. Actual compensation offered to a candidate may vary based upon geographic location, work experience, education and/or skill levels
Benefits available to eligible employees include the following
Medical, dental, vision
Tax-advantaged health care accounts
Financial and income protection benefits
Paid time off (PTO) and wellness time off
This job posting will remain open until we have identified an adequate applicant pool. Applicants are strongly encouraged to apply early

Технологии и навыки

cloud
data engineering
director
architecture
computer science
T
TTEC Digital
USA

ГрейдSenior
ЗанятостьПолная занятость
РегионСША
ФорматУдалённо
ИсточникСкрыто
Опубликовано6 дн назад
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