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Enterprise Architect, Americas

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; Master’s degree preferred., Proven experience as a Data Platform Architect, focusing on Azure data services and AI technologies., Strong proficiency in Azure data services such as Azure Data Lake, Azure Synapse Analytics, and Azure Machine Learning., Excellent problem-solving and communication skills, with the ability to convey complex concepts to non-technical stakeholders..

Key responsabilities:

  • Design and implement Azure-based data platforms supporting AI and machine learning initiatives.
  • Collaborate with data engineering and data science teams for seamless integration of data pipelines and AI models.
  • Develop data architecture frameworks and best practices for data governance and management.
  • Conduct proof-of-concept projects to evaluate new tools and technologies, while collaborating with clients to translate business requirements into technical solutions.

Accellor logo
Accellor https://www.accellor.com/
201 - 500 Employees
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Job description

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:

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

Requirements

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

Benefits

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.

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 canters.

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.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Problem Solving

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