Senior GCP Data Architect Job at NTT DATA (Bucharest)

Senior Data Engineer Lead / Architect - Senior Vice President

At Citi Services - Global Trade Technology Organization, we are on a mission to ...

Location

India , Pune, Maharashtra, India, Chennai, Tamil Nadu, India

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of professional experience in data engineering, with a proven track record of designing and building large-scale data systems
3+ years in a technical leadership or architect role, with experience mentoring junior and senior engineers
Expert-level proficiency in at least one programming language (Python or Scala preferred) and exceptional SQL skills
Proven hands-on experience with Python or Scala for data manipulation, scripting, machine learning, and backend development
Deep, hands-on experience with a major cloud platform (AWS, GCP, or Azure) and its data ecosystem (e.g., S3/GCS, Redshift/BigQuery, EMR/Dataproc, Kinesis/Dataflow)
Extensive hands-on experience with modern big data technologies and Data streaming (like Hadoop, Hive, Impala, Apache Spark, Kafka, or Flink)
Proficiency with workflow orchestration tools such as Airflow, Dagster, or Prefect
Proficiency in designing and implementing microservices architectures, RESTful APIs, and event-driven systems with 'Data as a Product' Principle
Solid understanding of data modeling concepts and database design for both analytical (OLAP) and transactional (OLTP) workloads
Deep understanding and hands-on experience with relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka)

Job Responsibility

Architect & Design: Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure, including data lakes, data warehouses, and real-time streaming platforms on the cloud
Build & Code: Act as a senior individual contributor and hands-on technical leader. Write clean, maintainable, and high-performance code for data ingestion, transformation, and serving layers (e.g., using Python, Scala, SQL, and Spark)
Lead & Mentor: Lead a team of data engineers, providing technical guidance, mentorship, and career development support. Foster a collaborative and inclusive team environment
Champion Culture: Define, document, and champion data engineering best practices across the organization, including CI/CD, data quality, testing frameworks, observability, and code review standards
Drive Strategy: Partner with leadership, product managers, data scientists, and analysts to understand data needs and develop a long-term data strategy and roadmap
Innovate & Evaluate: Stay at the forefront of data engineering technologies. Evaluate, prototype, and recommend new tools and frameworks to continuously improve our data platform
Ensure Governance: Implement and enforce robust data governance, security, and privacy policies in partnership with our security and compliance teams

Fulltime

Senior Data Architect

We have an exciting opportunity for a Data Architect to join our growing Data an...

Location

United Kingdom , Glasgow or Newbury / Reading, Berkshire

Salary:

Not provided

FSP

Expiration Date

Until further notice

Requirements

Extensive experience defining and delivering data architectures in large-scale, enterprise or transformation programmes
Proven expertise designing cloud-native data platforms across Azure, GCP or AWS
Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling)
Experience with modern data transformation approaches — familiarity with DBT and analytics engineering principles is beneficial
Deep understanding of data platforms, orchestration, metadata management, CI/CD and architectural components such as DevOps, Azure Data Factory, BigQuery, Databricks, MS Fabric, Airflow, Snowflake etc
Demonstrable experience architecting solutions using medallion architectures, including curated gold-layer models designed for analytics consumption
Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design
Awareness of cloud economics, cost optimisation strategies and designing solutions that balance performance with value
Experience with infrastructure as code, especially Terraform, to ensure architectural consistency and deployment scalability
Able to inspire, guide and elevate cross-functional engineering teams

Job Responsibility

Define, own and evolve enterprise-grade data architectures, ensuring scalability, sustainability and alignment with client objectives
Lead the design of cloud-based data platforms, semantic layers, integration patterns and data models
Establish governance standards, frameworks and principles that guide engineering teams
Act as a trusted technical partner to clients, shaping their data strategy, advising senior stakeholders and articulating architecture decisions with clarity and confidence
Create and enforce architectural guidelines, including modelling standards, reference architectures, blueprints and reusable components to ensure consistent delivery quality
Stay current with emerging data platform technologies, architectural patterns and cloud-native capabilities
Proactively share insights and drive innovation across the wider engineering team

Fulltime

Senior Data Scientist –GCP Focus (Marketing Analytics)

At Valtech, you’ll find an environment designed for continuous learning, meaning...

Location

Brazil

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Hands-on experience with GCP services used in production analytics environments, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run (or equivalent deployment/runtime patterns)
Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data (e.g., paid media, campaign performance, digital channels, or customer journeys)
Proven industry experience developing predictive or inferential statistical models or a Master’s/PhD in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or related disciplines
Deep understanding of causal inference, time-series analysis, or econometric techniques as applied to marketing analytics
Experience applying statistical and machine learning libraries effectively to real-world business and marketing problems
Proficiency in SQL, Python, and/or R, with the ability to execute end-to-end data ingestion through insight generation
Experience defining and reporting model performance and business impact metrics (e.g., precision/recall, MAPE, ROI, incrementality), including documented backtesting
Experience delivering production model artifacts such as model cards, registry updates, confidence intervals, and guardrail-aware recommendations
4+ years of experience in similar data science, marketing analytics, or advanced analytics roles
Advanced English proficiency

Job Responsibility

Contribute to production readiness through monitoring
incident response support
and operational runbooks to meet agreed service levels
Conduct root-cause analysis of production issues that lead to adverse model outputs
Design
build
and optimize marketing mix models (MMM)
attribution models
and other econometric or causal models using marketing data
Select and implement appropriate machine learning models for time-series forecasting

What we offer

Flexibility
with remote and hybrid work options (country-dependent)
Career advancement
with international mobility and professional development programs
Learning and development
with access to cutting-edge tools
training and industry experts

Fulltime

Senior Data Scientist- GCP Focus (Marketing Analytics)

Ideal candidates will bring a strong quantitative background and a disciplined a...

Location

Colombia

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Hands-on experience with GCP services used in production analytics environments, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run (or equivalent deployment/runtime patterns)
Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data (e.g., paid media, campaign performance, digital channels, or customer journeys)
Proven industry experience developing predictive or inferential statistical models or a Master’s/PhD in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or related disciplines
Deep understanding of causal inference, time-series analysis, or econometric techniques as applied to marketing analytics
Experience applying statistical and machine learning libraries effectively to real-world business and marketing problems
Proficiency in SQL, Python, and/or R, with the ability to execute end-to-end data ingestion through insight generation
Experience defining and reporting model performance and business impact metrics (e.g., precision/recall, MAPE, ROI, incrementality), including documented backtesting
Experience delivering production model artifacts such as model cards, registry updates, confidence intervals, and guardrail-aware recommendations
4+ years of experience in similar data science, marketing analytics, or advanced analytics roles
Advanced English proficiency

Job Responsibility

Contribute to production readiness through monitoring, incident response support, and operational runbooks to meet agreed service levels
Conduct root-cause analysis of production issues that lead to adverse model outputs
Design, build, and optimize marketing mix models (MMM), attribution models, and other econometric or causal models using marketing data
Select and implement appropriate machine learning models for time-series forecasting, supply-chain optimization, and marketing performance use cases
Contribute well-tested, maintainable code to existing object-oriented Python codebases
Analyze raw, large-scale datasets to deliver meaningful impact for enterprise clients while maintaining scientific rigor
Engineer data pipelines and data products that enable stakeholders to make informed, data-driven marketing and business decisions
Communicate analytical insights in a clear, intuitive, and visually compelling manner for marketing, product, and executive audiences
Create highly visual and interactive dashboards using Tableau, Power BI, Looker, or custom web applications
Conduct deep-dive analyses and design KPIs to measure marketing effectiveness, ROI, incrementality, and business growth

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Senior Data Engineer (GCP)

Get ready to take your place on n11, an open market platform has made valuable c...

Location

Turkey , Sarıyer/İstanbul

Salary:

Not provided

İTÜ ARI Teknokent

Expiration Date

Until further notice

Requirements

Academic degree in Data Engineering, Computer Engineering, Computer Science, Software Engineering, Applied Mathematics or similar background
Minimum of 5 years work experience
2+ years professional development experience with the GCP data stack
Expertise in architecting, developing, and managing real-time data pipelines
Expertise in deploying machine learning models in production
Experience with stream data pipeline frameworks or solutions
Experience working in message queuing, stream processing, and highly scalable ‘big data’ data stores
Experience with Kafka, PubSub, or other event-based systems
Experience working in cloud environments and with containerization frameworks, tools and platforms (e.g Docker, Kubernetes, GKE, etc)
Expertise in building data products incrementally and integrating/managing datasets on GCP from multiple sources

Job Responsibility

Analyze, Design, Implement, Test, and Document all new or modified AA/ML/DL systems, models and applications
Integrating data management technologies and software engineering tools into existing structures
Building and managing data jobs with various data platforms (on-prem rdbms to cloud and vice versa)
Implementation of data orchestration pipelines, data sourcing, cleansing, augmentation and quality control processes
Deployment of data pipelines in GCP
DevOps and DataOps skills including “infrastructure as code” systems
Leverage latest technologies to deliver better insights more quickly and cost effectively

Fulltime

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

Senior Cloud & Data AI Architect

Join Datwave (a BIP's Company) to accelerate your career in the world of Cloud a...

Location

Albania , Tirana

Salary:

Not provided

Business Integration Partners

Expiration Date

Until further notice

Requirements

At least 5–7 years in similar roles with a strong focus on Google Cloud
Mastery of Terraform and deep knowledge of core GCP services (BigQuery, Dataplex, Vertex AI)
Proven experience in setting up modern Data Lakes/Warehouses and developing AI models
Excellent knowledge of Python and CI/CD paradigms applied to the cloud
Technical leadership, strong communication skills for sales support, and fluency in both Italian and English

Job Responsibility

Architectural Design: End-to-end design of data platforms on GCP (Data Mesh, Medallion Architecture) while ensuring robust data governance
Technical Pre-sales & Client Advisory: Support business development through technical proposals, Proofs-of-Concept (PoCs), and managing relationships with client-side stakeholders
Infrastructure as Code (IaC): Full automation of resource provisioning using Terraform
AI Implementation: Design of AI/ML solutions, including intelligent agent orchestration and model industrialization (MLOps)
App & Migration: Oversight of application deployment and management of complex database migrations
Mentorship: Technical guidance and career growth for the junior profiles within the team

Fulltime

Senior Manager- Data Centre Core Network Architect

As a Senior Engineer in the Data Centre Network Service Design team, you will be...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Proven experience in data centre build, consolidation, and migration to public cloud platforms
Expertise in SDN technologies including SD-WAN (Cisco Viptela), Cisco ACI, VMware NSX
Proficiency in network automation using Python, Terraform, and Ansible
Hands-on experience with Cisco Nexus data centre devices
Strong knowledge of switching (FabricPath), routing protocols (OSPF, BGP, BFD), segment routing, Ethernet, VXLAN
Familiarity with private and public cloud environments (AWS, Azure, GCP)

Job Responsibility

Develop high-level design (HLD) documentation for network service solutions
Analyse service requirements to create optimised, high-performance network designs
Lead migration of services from legacy environments to SD-WAN, ACI, NSX, and private cloud platforms, adhering to Vodafone’s security zoning and routing standards
Forecast future performance, availability, and capacity needs based on business plans and usage trends
Deliver impactful presentations in internal and global client forums
Collaborate with cross-functional teams to support service restoration and ensure seamless connectivity
Manage prioritisation and optimal utilisation of design resources
Oversee data centre network project designs and provide timely updates
Communicate solution strategies and product offerings effectively while designing innovative solutions

Select Country

Senior GCP Data Architect

Job Description

Job Responsibility

Requirements

What we offer

Looking for more opportunities?