The Job

Data Architect

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Science · Software Architecture

Join for updates

In short

Atlas Copco Group is seeking an experienced Data Architect in Pune, India to design and implement scalable, secure data solutions for data analytics initiatives. The role involves bridging business needs with technical feasibility, collaborating with cross-functional teams, and staying updated on emerging data trends. This is a hybrid position with a focus on technological leadership and innovation within the Data Engineering competence center.

Responsibilities

  • Design, develop, and implement innovative data solutions for data analytics initiatives.
  • Define and implement scalable, secure data architectures for analytics platforms and BI solutions.
  • Recommend the best-fit data technologies (cloud platforms, data lakes, data warehouses, analytics tools) for optimal performance.
  • Design solutions that integrate seamlessly with existing IT infrastructure.
  • Ensure scalability and future growth are considered in architecture design.
  • Collaborate closely with data engineers, analysts, data scientists, and stakeholders.
  • Identify potential risks and propose mitigation solutions.
  • Communicate complex technical concepts to both technical and non-technical audiences.
  • Stay up-to-date with emerging trends in data and analytics.

Requirements

  • Expertise in data modelling techniques, including relational (SQL) and non-relational (NoSQL) databases.
  • Solid understanding of data warehousing concepts, ETL (Extract, Transform, Load) processes, and big data technologies.
  • Proficiency in SQL and scripting languages like Python, Spark, etc. for data manipulation and automation.
  • Knowledge of cloud platforms (Microsoft Azure, Data Bricks, Fabric) for deploying and managing data solutions.
  • Understanding of data governance, security best practices, and data access controls.
  • Excellent communication skills to bridge the gap between technical and non-technical stakeholders.
  • Ability to analyze complex data problems and design effective solutions.
  • Experience managing data-related projects and ensuring successful execution.
  • Ability to guide and collaborate effectively with data engineers, analysts, data scientists, and business teams.
  • Strategic thinking and enterprise-level solution design capabilities.
  • Ability to discuss requirements with stakeholders and communicate understanding back.
  • Ability to work with stakeholders to understand the big picture and work towards it.
  • Ability to work with team members and other users from the organization at different levels for performance improvement and suggestions.
  • Fluent in English, both written and spoken.

Desired Qualifications

  • Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, Databricks Certified Solution Architect are good to have.
  • Interest in keeping up with emerging data technologies.
  • Experience in hybrid environments (cloud + on-prem).
  • Business acumen: Understanding of core business processes and how data analytics can drive strategic decision-making.
  • Experience with project management tools like Agile or Scrum.
  • Ability to mentor and guide junior team members within the data team.
  • Decisive (not afraid of making errors and willing to learn by doing).
  • Open-minded; expect the unexpected (= stay skeptical when viewing data and info).
  • Not afraid to approach other stakeholders (customer center specialists, local engineering, or technical support specialists).
  • Structured approach when collecting info and data, and when closing the feedback loop to further increase learning.

Benefits

  • Leadership role focused on defining the roadmap of Data Engineering competence and achieving it.
  • Global exposure and opportunities.
  • Opportunities to challenge yourself on a technological front and create a competence center for Data Engineering and Visualization.
  • Opportunities to build a professional network among the technical fraternity within the group.
  • Opportunity to build a strong network of the local ecosystem and bring benefits for Atlas Copco.
  • Flexible working hours.
  • Flexible office and home working policies.
  • Modern infrastructure providing the latest tools and technologies.
  • Challenging environment contributing to constant learning and professional growth.
  • Part of a constantly growing data competence team.
  • Group healthcare insurance plans (depending on country).
  • Chance to become part of a global, innovative company, supporting sustainable productivity.
  • Opportunity to bring revolutionary ideas fostering innovation and execute qualified ideas.
  • Friendly culture with immense professional and personal development, education, and opportunities for career growth.
  • Free access to LinkedIn Learning and many other internal and external trainings.
  • Regular trainings to acquire new skills.
  • Opportunity to make the world a better place through sustainable goals and by contributing to Water for all projects.
  • Friendly and open culture of a Swedish company.
  • High visibility in the organization with "No door" culture.
  • Free canteen and transport facility.
#Data Architect#Data#Analytics#IT#Technology#Architecture#Cloud
Atlas Copco Group Logo

Company

Atlas Copco Group

Job Posted

2 days ago

Expires

in 1 week

Employment Type

Full Time

WorkMode

Hybrid

Experience Level

Senior

Locations

Pune, India

Vadodara, India

Qualification

Undergraduate, Diploma, Bachelor, Master

Applicants

Be an early applicant