עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
35,000-55,000 ₪
Required Data Architect
As a Data Architect, you will play a crucial role in shaping and implementing our data architecture strategy. You will collaborate with business stakeholders, data engineers, and analysts to design robust data models and scalable data solutions that support business needs. Your expertise in data modeling, architecture, and business understanding will be key in ensuring data integrity, availability, and performance.
Data Architecture & Modeling: Design and maintain scalable data architectures, ensuring efficient data flow, storage, and retrieval. Develop logical and physical data models aligned with business objectives.
Business Collaboration: Work closely with business leaders and analysts to understand data requirements, ensuring alignment between data models and business needs.
Governance & Best Practices: Define and enforce best practices for data governance, security, and compliance, ensuring adherence to industry standards.
Technology & Innovation: Evaluate and recommend data technologies, tools, and frameworks to enhance our data ecosystem.
Scalability & Performance: Optimize data infrastructure for performance, scalability, and cost-effectiveness.
Integration & ETL Design: Design data pipelines and integration strategies to unify data from multiple sources.
Documentation & Standards: Establish and maintain clear documentation for data models, definitions, and data governance policies.
As a Data Architect, you will play a crucial role in shaping and implementing our data architecture strategy. You will collaborate with business stakeholders, data engineers, and analysts to design robust data models and scalable data solutions that support business needs. Your expertise in data modeling, architecture, and business understanding will be key in ensuring data integrity, availability, and performance.
Data Architecture & Modeling: Design and maintain scalable data architectures, ensuring efficient data flow, storage, and retrieval. Develop logical and physical data models aligned with business objectives.
Business Collaboration: Work closely with business leaders and analysts to understand data requirements, ensuring alignment between data models and business needs.
Governance & Best Practices: Define and enforce best practices for data governance, security, and compliance, ensuring adherence to industry standards.
Technology & Innovation: Evaluate and recommend data technologies, tools, and frameworks to enhance our data ecosystem.
Scalability & Performance: Optimize data infrastructure for performance, scalability, and cost-effectiveness.
Integration & ETL Design: Design data pipelines and integration strategies to unify data from multiple sources.
Documentation & Standards: Establish and maintain clear documentation for data models, definitions, and data governance policies.
Requirements:
Experience: 5+ years of experience in data architecture, data engineering, or a related role, preferably in large-scale, complex environments.
Business Acumen: Strong ability to translate business needs into data solutions.
Technical Expertise: Hands-on experience with data modeling techniques, relational and non-relational databases (SQL, NoSQL), data warehousing solutions, and ETL processes.
BI Tools: Experience with business intelligence tools like Tableau, Power BI, or Looker.
Knowledge of machine learning and AI-driven data architectures.
Cloud: Experience with cloud platforms (AWS, GCP, or Azure).
Data Governance: Understanding of data quality, security, and compliance frameworks.
Analytical Mindset: Strong problem-solving skills and the ability to work with complex data sets.
Communication Skills: Ability to clearly communicate technical concepts to non-technical stakeholders.
Preferred Qualifications
Experience with Tableau Cloud and knowledge of BI visualization best practices.
Exposure to Okta SSO integration and user management within data platforms.
Familiarity with data orchestration tools (e.g., Airflow, DBT, etc.).
Experience: 5+ years of experience in data architecture, data engineering, or a related role, preferably in large-scale, complex environments.
Business Acumen: Strong ability to translate business needs into data solutions.
Technical Expertise: Hands-on experience with data modeling techniques, relational and non-relational databases (SQL, NoSQL), data warehousing solutions, and ETL processes.
BI Tools: Experience with business intelligence tools like Tableau, Power BI, or Looker.
Knowledge of machine learning and AI-driven data architectures.
Cloud: Experience with cloud platforms (AWS, GCP, or Azure).
Data Governance: Understanding of data quality, security, and compliance frameworks.
Analytical Mindset: Strong problem-solving skills and the ability to work with complex data sets.
Communication Skills: Ability to clearly communicate technical concepts to non-technical stakeholders.
Preferred Qualifications
Experience with Tableau Cloud and knowledge of BI visualization best practices.
Exposure to Okta SSO integration and user management within data platforms.
Familiarity with data orchestration tools (e.g., Airflow, DBT, etc.).
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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