Enterprise Architect, Europe
Enterprise Architect, Europe

Enterprise Architect, Europe

Ludwigsfelde Vollzeit 43200 - 72000 € / Jahr (geschätzt) Kein Home Office möglich
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Auf einen Blick

  • Aufgaben: Design and implement Azure-based data platforms for AI and machine learning.
  • Arbeitgeber: Accellor is a leader in digital transformation, specializing in custom software solutions.
  • Mitarbeitervorteile: Enjoy flexible work schedules, remote options, and competitive salaries with great perks.
  • Warum dieser Job: Join a collaborative team working on exciting projects with global brands and cutting-edge technologies.
  • Gewünschte Qualifikationen: Bachelor's in Computer Science or related field; experience with Azure data services and AI required.
  • Andere Informationen: Opportunities for professional development and a focus on work-life balance.

Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.

About Accellor :

Accellor is a leading digital transformation services company that specializes in building custom software solutions using cutting-edge technologies, including Generative AI and Object-Oriented Programming. Our mission is to empower businesses to harness the power of data and AI to drive innovation and achieve their strategic goals.

Position Overview: We are seeking a highly skilled Azure AI Data Platform Architect to join our team. In this role, you will be responsible for designing, developing, and implementing scalable data solutions on the Azure platform, leveraging AI and machine learning to drive data-driven decision-making. You will work closely with cross-functional teams, including data engineers, data scientists, and business stakeholders, to create robust data architectures that support our clients‘ strategic objectives.

Key Responsibilities:

  1. Design and implement Azure-based data platforms that support AI and machine learning initiatives
  2. Collaborate with data engineering and data science teams to ensure seamless integration of data pipelines and AI models
  3. Develop data architecture frameworks, standards, and best practices for data governance and management
  4. Analyze and optimize existing data architectures and workflows to enhance performance and scalability
  5. Identify opportunities to leverage AI and machine learning technologies to drive business value
  6. Provide technical leadership and guidance to team members on Azure data services, AI technologies, and best practices
  7. Conduct proof-of-concept projects to evaluate new tools, technologies, and methodologies
  8. Collaborate with clients to understand their business requirements and translate them into technical solutions
  9. Stay current with industry trends and emerging technologies in data platforms, AI, and cloud computing

Requirements:

  1. Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; Master’s degree preferred
  2. Proven experience as a Data Platform Architect, with a focus on Azure data services and AI technologies
  3. Strong proficiency in Azure data services such as Azure Data Lake, Azure Synapse Analytics, Azure Databricks, and Azure Machine Learning
  4. Experience with data modeling, ETL processes, and data warehousing concepts
  5. Familiarity with programming languages such as Python, R, or Scala for data manipulation and analysis
  6. Knowledge of data governance, security, and compliance best practices
  7. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment
  8. Strong communication skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders

Benefits:

  1. Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail, and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
  2. Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers.
  3. Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
  4. Professional Development: Our dedicated Learning & Development team regularly organizes communication skills training, stress management programs, professional certifications, and technical and soft skill training.
  5. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, personal accident insurance, periodic health awareness programs, extended maternity leave, annual performance bonuses, and referral bonuses.

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Enterprise Architect, Europe Arbeitgeber: Accellor

At Accellor, we pride ourselves on being a premier employer in the digital transformation space, offering our Enterprise Architects the chance to work on exciting projects with leading global brands. Our collaborative environment fosters professional growth through diverse team interactions and continuous learning opportunities, while our commitment to work-life balance ensures that you can thrive both personally and professionally. With competitive benefits and a focus on employee well-being, Accellor is the ideal place for those looking to make a meaningful impact in the world of AI and data solutions.
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Kontaktperson:

Accellor HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Enterprise Architect, Europe

✨Tip Number 1

Familiarize yourself with the latest Azure data services and AI technologies. Understanding tools like Azure Data Lake, Azure Synapse Analytics, and Azure Machine Learning will give you a significant edge in discussions during interviews.

✨Tip Number 2

Showcase your experience with data architecture frameworks and best practices. Be prepared to discuss specific projects where you've implemented scalable data solutions and how they benefited the business.

✨Tip Number 3

Highlight your collaborative skills by sharing examples of how you've worked with cross-functional teams. Emphasizing your ability to communicate complex technical concepts to non-technical stakeholders can set you apart.

✨Tip Number 4

Stay updated on industry trends and emerging technologies in data platforms and AI. Being knowledgeable about the latest advancements will demonstrate your commitment to continuous learning and innovation.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Enterprise Architect, Europe

Azure Data Services
AI and Machine Learning Technologies
Data Architecture Design
Data Governance and Management
Data Modeling
ETL Processes
Data Warehousing Concepts
Programming Languages (Python, R, Scala)
Data Pipeline Integration
Technical Leadership
Problem-Solving Skills
Communication Skills
Collaboration with Cross-Functional Teams
Cloud Computing Knowledge
Industry Trends Awareness

Tipps für deine Bewerbung 🫡

Understand the Role: Take the time to thoroughly read the job description for the Enterprise Architect position. Understand the key responsibilities and required skills, especially those related to Azure data services and AI technologies.

Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your proficiency in Azure data services, data architecture frameworks, and any experience with AI and machine learning.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for digital transformation and your ability to drive innovation through data solutions. Mention specific projects or experiences that demonstrate your expertise in Azure and AI technologies.

Highlight Collaboration Skills: Since the role involves working closely with cross-functional teams, make sure to include examples of past collaborations in your application. Highlight your communication skills and ability to convey complex technical concepts to non-technical stakeholders.

Wie du dich auf ein Vorstellungsgespräch bei Accellor vorbereitest

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with Azure data services and AI technologies in detail. Highlight specific projects where you designed and implemented data platforms, and be ready to explain the challenges you faced and how you overcame them.

✨Demonstrate Collaboration Skills

Since the role involves working closely with cross-functional teams, share examples of how you've successfully collaborated with data engineers, data scientists, and business stakeholders in previous roles. Emphasize your ability to communicate complex technical concepts to non-technical audiences.

✨Stay Current with Industry Trends

Research the latest trends in data platforms, AI, and cloud computing before the interview. Be prepared to discuss how these trends could impact the company's projects and how you can leverage them to drive innovation.

✨Prepare for Problem-Solving Scenarios

Expect to face problem-solving questions during the interview. Practice articulating your thought process when analyzing and optimizing data architectures or workflows, and be ready to provide examples of how you've improved performance and scalability in past projects.

Enterprise Architect, Europe
Accellor
Standort: Ludwigsfelde
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