Data Architect

4 days ago

Budapest, Budapest, Hungary HCLTech – Hungary Full time

About HCLTech

HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We are powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving.

Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040.

To learn more about how we can supercharge progress for you, visit

About the job

We are seeking a highly skilled Data Architect with a strong background in engineering and consulting. The ideal candidate will have extensive experience in designing and implementing data architectures, with a deep understanding of SQL. While Python knowledge is preferred, it is not mandatory.

Key Responsibilities:

  • Design and implement scalable, robust data architectures to support business needs.
  • Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
  • Develop and maintain data models, databases, and data integration processes.
  • Ensure data quality, integrity, and security across all data platforms.
  • Provide technical leadership and guidance to the engineering team.
  • Conduct data analysis and provide insights to support decision-making.
  • Stay up to date with emerging technologies and industry trends.

Qualifications:

  • Proven experience as a Data Architect, Senior Data Engineer, or in a similar role.
  • Strong consulting background with the ability to work with clients and stakeholders.
  • Proficiency in SQL and experience with database management systems.
  • Knowledge of Python is preferred but not required.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills

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