דרושים » תוכנה » Data Architect

Requirements:
* 10+ years of software architecture experience with at least 5 years in a leadership role within a SaaS/cloud-native product environment.
* Proven track record managing architecture teams (software architects, system architects/engineers) in high-scale, agile organizations.
* Deep expertise in cloud architecture, AWS, microservices, APIs, and distributed systems.
* Strong understanding of SaaS delivery models, DevSecOps principles, and platform engineering best practices.
* Familiarity with modern data and application security standards, compliance (e.g., SOC2, FedRAMP), and privacy considerations.
* Experience with emerging technologies such as GenAI, Machine Learning, event-driven architectures is a plus.
* Excellent interpersonal and communication skills, with the ability to influence stakeholders and communicate complex ideas clearly.
* Bachelors or Masters degree in Computer Science, Software Engineering, or a related field.

Requirements:
10+ years of software architecture experience with at least 5 years in a leadership role within a SaaS/cloud-native product environment.
Proven track record managing architecture teams (software architects, system architects\engineers) in high-scale, agile organizations.
Deep expertise in cloud architecture, AWS, microservices, APIs, and distributed systems.
Strong understanding of SaaS delivery models, DevSecOps principles, and platform engineering best practices.
Familiarity with modern data and application security standards, compliance (e.g., SOC2, FedRAMP), and privacy considerations.
Experience with emerging technologies such as GenAI, Machine Learning, event-driven architectures is a plus.
Excellent interpersonal and communication skills, with the ability to influence stakeholders and communicate complex ideas clearly.
Bachelors or Masters degree in Computer Science, Software Engineering, or a related field.

Requirements:
5+ years of experience in cloud architecture, with at least two years specifically focused on AWS.
Proven experience in designing and implementing complex AWS solutions.
Demonstrated experience leading or developing high-quality, enterprise-scale distributed applications using modern software development practices and technologies (highly desired).
Significant experience in infrastructure architecture, database architecture, networking, and security.
A history of successful technical consulting and architecture engagements with large-scale customers or enterprises.
Documented experience designing and implementing secure cloud solutions for government, defense, or other security-sensitive organizations.
Exceptional presentation skills, with high comfort speaking with executives, IT Management, and developers.
Strong verbal and written communication skills are essential, along with the ability to work effectively across internal and external organizations.
Experience working within the software development or Internet industries is highly desired.
B.Sc in Computer Science is highly desired.
AWS Certification - an advantage.
Fluency in both Hebrew and English is essential.

Requirements:
1. Technical Expertise
Cloud Data Platforms: Expertise in Google Cloud Platform (GCP)
services, especially in data-related services like BigQuery, Cloud SQL,
Dataproc, Pub/Sub, and Dataflow.
Data Engineering: Strong knowledge of data pipelines, ETL/ELT
processes, and data integration using GCP tools.
Database Management: Experience with both relational and
non-relational databases, including MySQL, PostgreSQL, and NoSQL
solutions like Firestore or Bigtable.
Programming Skills: Proficiency in Python, SQL, and possibly other
languages like Java or Scala, with a focus on data manipulation and
processing.
APIs and Integrations: Experience working with Google APIs and
third-party APIs for data extraction and integration.
Machine Learning: Familiarity with Google Cloud AI tools, such as
Vertex AI, and how to integrate machine learning workflows into the data
architecture.
Data Governance: Knowledge of data security, privacy, governance, and
regulatory requirements (GDPR, HIPAA, etc.).
2. Leadership and Management

Team Management: Ability to lead a team of data engineers, analysts,
and architects, providing guidance, mentorship, and performance
management.
Project Management: Strong skills in managing data projects, ensuring
timely delivery while meeting client requirements.
Collaboration: Experience working cross-functionally with stakeholders
such as solution architects, developers, and business teams to translate
business needs into data solutions.
Resource Allocation: Efficiently managing cloud resources to optimize
cost and performance.
3. Client-Facing Skills
Consulting: Experience in providing consulting services to clients,
including understanding their data needs, providing solutions, and
guiding them through the data modernization process.
Pre-sales Support: Supporting sales teams in scoping out client
projects, preparing presentations, and explaining technical aspects of
data solutions during pre-sales.
Client Relationship Management: Building and maintaining strong
relationships with clients to ensure satisfaction and long-term
partnership.
4. Certifications and Education
● Google Cloud Certifications:
● Professional Data Engineer (preferred)
● Professional Cloud Architect (preferred)
● Other Certifications: Optional certifications in data engineering or
machine learning from organizations like Cloudera, AWS, or Microsoft
Azure can be advantageous.
● Educational Background: Bachelors or Masters degree in Computer
Science, Data Science, Engineering, or a related field.
5. Soft Skills
● Problem-Solving: Ability to troubleshoot data-related issues and
implement scalable solutions.
● Adaptability: Ability to keep up with the rapidly changing cloud and data
landscape.
● Communication: Excellent verbal and written communication skills to
explain complex data systems to non-technical stakeholders.

Requirements:
Skills:
* A systems perspective that connects business needs with architectural solutions \ a systems-level perspective that includes understanding business needs and refining them into architectural actions.
* Capable of establishing and orchestrating architecture definition and review processes.
* Proven track of leading and mentoring other architects and engineers.
* Able to consider the impact on developer experience and development life cycle when making decisions.
* Highly experienced in the following technology stacks: Spring Boot, Kafka, Kafka Streams, Airflow, Relational and Non-Relational data stores and their cloud equivalents.
* Deep understanding of IoT and Data Processing at scale.
* Advantage- knowledge in physics and electronics.
* An analytic approach to problem solving, creative thinking.
* A quick learner, highly energetic, team player.
* Excellent interpersonal communication, written, verbal, and presentation skills.

Requirements:
Must-Have Qualifications 10+ years of experience in software engineering, with at least 5+ years in architecture roles
* Deep understanding and experience with Kafka, PostgreSQL, MongoDB and Elastic Search.
* Proven experience designing and deploying production-grade systems on Kubernetes
* Strong proficiency in JAVA Python.NET Core, and.NET Framework
* Deep understanding of microservices, distributed systems, and integration patterns.
* Hands-on experience with CI/CD processes in cloud-native practices.
* Hands-on experience with CI/CD processes in On Prem OpenShift Environments.
* Strong communication and interpersonal skills must be able to collaborate effectively with both technical and non-technical stakeholders. And talk with our clients.
* Experience with hybrid environments (on-prem + cloud).
* Fluent in English written and spoken

Requirements:
BASIC QUALIFICATIONS:
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, data & analytics).
- Experience in designing, developing or operating reliable and scalable cloud-native solutions, platforms and software.
- Fluent written and verbal communications skills in English and Hebrew with demonstrated ability to communicate technical choices to business and technology stakeholders.

PREFERRED QUALIFICATIONS:
- In-depth working knowledge in one or more of the following technologies: DevOps, Containers, Big Data Solutions, Machine Learning, Serverless, Networking, Security, Databases, IOT, AI/ML, Cloud Migration and IT Transformation.
- Professional experience architecting/operating solutions built on us and/or our certification (e.g. Solutions Architect Associate or Professional).
- Experience or familiarity in the Startups eco-system.
- Experience working in a customer-facing role or a role that involved public speaking.

Requirements:
Must-Have Qualifications:
10+ years of experience in software engineering, with at least 5+ years in architecture roles.
Deep understanding and experience with Kafka, PostgreSQL, MongoDB and Elastic Search.
Proven experience designing and deploying production-grade systems on Kubernetes.
Strong proficiency in Java, Python, .NET Core, and .NET Framework.
Deep understanding of microservices, distributed systems, and integration patterns.
Hands-on experience with CI/CD processes in cloud-native practices.
Hands-on experience with CI/CD processes in On Prem OpenShift Environments.
Strong communication and interpersonal skills must be able to collaborate effectively with both technical and non-technical stakeholders. And talk with our clients.
Experience with hybrid environments (on-prem + cloud).
Fluent in English written and spoken.

Requirements:
Experience of at least 5+ years in design, hands-on development of distributed software applications and cloud platforms.
Experience as a Hands-on Java, Node Design and Architecture building.
Experience in the design of microservice-based solutions.
Experience in messaging and integration technologies and components.
Experience and deep background in JS.
Experience with software as a Service (SaaS),Platform as a Service experience in PaaS, e.g. Kubernetes, Docker, using atleast one of the following platforms: AWS, MS Azure, Google Cloud.
Understanding of the security world and cloudsecurity.
Experience with API Managers/Gateways.
Demonstrate strongverbal and written communication to build effective partnerships, presentation,and collaboration skills.
Basic Software Security skills to integrate with DevOps
Truthful.
Excellent English.
French - a big advantage.

Requirements:
2+ years of experience in technical leadership within software development.
5+ years of experience in backend development and/or architecture, with a strong focus on designing scalable systems.
Technologies We Use:
We work with a range of advanced technologies, and familiarity with any or all of them is a plus:
AWS for cloud infrastructure and services.
Kubernetes for container orchestration and managing scalable applications.
Microservices architecture for building resilient, distributed systems.
Python (with frameworks like FastAPI, Django, and Celery) for backend development.
MongoDB for handling large-scale, unstructured data.
Graph Databases for complex data relationships.
Vector Databases optimized for machine learning and high-performance querying.
React.js SPA for building responsive, dynamic user interfaces.
Generative AI and RAG (Retrieval-Augmented Generation) for incorporating LLMs into the product.