Job Description

Passionate people create exceptional thingsDid you know that the solutions we develop are a key part of most industries? Electronics, medical research, renewable energy, food production, infrastructure and many more.We\xc2\xb4re everywhere! Working with us means working with the latest technologies and groundbreaking, sustainable innovations. With our inclusive and caring environment, you get the support and inspiration you need to grow.Here, your ideas are embraced, and you never stop learning. Interested in being part of our team?Join us on our journey for a better tomorrow.Your RoleAtlas Copco is a leading global Industrial Group having vision of "First in Mind, First in Choice". Our culture is founded on three core values of commitment, interaction and innovation. They guide us in everything we do and reflect how we behave internally and in our relationships with our stakeholders.Digital Technology Practice at GECIA (Global Engineering Centre, India), part of Atlas Copco, is contributing significantly to vision of the Group by focusing on developing global talent, expanding portfolio and competence on futuristic competencies, driving Innovation and achieving operational excellence to drive customer success.We are seeking a highly skilled and experienced Solution Architect to join our growing Data & Aanlytics team from Digital Technology vertical. In this role, you will play a pivotal role in designing, developing, and implementing innovative data solutions that support our data analytics initiatives. You will bridge the gap between business needs and technical feasibility, ensuring our data infrastructure is scalable, secure, and optimized for advanced analytics.The Role

• Bridges the gap: Translates business needs into technical solutions for data analytics projects.
• Designs the roadmap: Creates the overall architecture for data pipelines, platforms, and tools to support analytics.
• Technology expertise: Possesses deep knowledge of various data technologies (cloud platforms, data lakes, data warehouses, analytics tools) to recommend the best fit.
• Integration champion: Designs solutions that integrate seamlessly with existing IT infrastructure.
• Scalability focus: Keeps scalability and future growth in mind when designing the architecture.
• Collaboration king: Works closely with data engineers, analysts, data scientists, and stakeholders to ensure everyone\'s on the same page.
• Risk assessment: Identifies potential risks and proposes solutions to mitigate them.
• Communication is key: Clearly communicates complex technical concepts to both technical and non-technical audiences.

To succeed, you will needSkills and Experience

• Data Modelling & Design: Expertise in data modelling techniques, including relational (SQL) and non-relational (NoSQL) databases.
• Data Warehousing & ETL: Solid understanding of data warehousing concepts, ETL (Extract, Transform, Load) processes, and big data technologies.
• Programming Languages: Proficiency in SQL and potentially scripting languages like Python, Spark, etc. for data manipulation and automation.
• Cloud Platforms: Knowledge of cloud platforms (Microsoft Azure, Data Bricks, Fabric) for deploying and managing data solutions.
• Data Management & Security: Understanding of data governance, security best practices, and data access controls.

Competences

• Communication & Collaboration: Excellent communication skills to bridge the gap between technical and non-technical stakeholders.
• Problem-Solving & Critical Thinking: Ability to analyze complex data problems and design effective solutions.
• Project Management: Experience managing data-related projects and ensuring successful execution.
• Teamwork: Ability to collaborate effectively with data engineers, analysts, data scientists, and business teams.

Stakeholder management

• You can discuss with stakeholders about their requirements and clearly communicate back your understanding of the requirements.
• You can work with the stakeholders to understand the big picture and work towards it.
• Work with team members and other users from the organization at different levels for performance improvement and suggestions.

Must have

• Communication skills, Facilitation: Excellent communication skills to bridge the gap between technical and non-technical stakeholders (business users, data engineers, analysts, data scientists).
• Collaboration: Ability to work effectively in a team environment, fostering collaboration and knowledge sharing across the data team.
• Analytical Thinking: Strong ability to analyse complex business needs and translate them into technical solutions for data analytics projects.
• Technical Architecture Design: Skilled at designing and implementing scalable data pipelines, platforms, and tools to support data analytics at an enterprise level.
• Technology Selection: Deep knowledge of various data technologies (cloud platforms, data lakes, data warehouses, analytics tools) to recommend the best fit for specific needs.

Nice to have

• Emerging Technologies: Curiosity and interest in keeping up with emerging data technologies.
• Business Acumen: Understanding of core business processes and how data analytics can drive strategic decision-making.
• Project Management Tools: Experience with project management methodologies and tools like Agile or Scrum.
• Mentorship: Ability to mentor and guide junior team members within the data team.

EducationAny Graduate (B.E. / B.Tech/MCA/MTech/BSc/MSc/MCS) in Engineering with 5-9 years of experience as a solution architect.Knowledge

• Good analytical skills: You feel comfortable working with numbers/data, e.g. collecting and analysing trend graphs, combining the info with insights from ERP and previous site visits, \xe2\x80\xa6 to come to a sound conclusion.
• You are fluent in English: both written and spoken.

Personality requirements

• You like open communication and enjoy working with different cultures.
• You are decisive (not afraid of making errors and willing to learn by doing)
• Open minded; expect the unexpected (= stay sceptical when viewing at the data and info)
• Not afraid to approach other stakeholders (customer centre specialists, local engineering, or technical support specialists)
• You work with a structured approach when collecting info and data, but also when closing the feedback loop to further increase your learning.

In return, we offer youWhat we offer

• Flexible working hours
• Flexible office and home working policies
• International Travel opportunity
• A modern infrastructure providing you with the latest tools and technologies at your disposal.
• A challenging environment which contributes to your constant learning and professional growth.
• To be part of the data competence team which is constantly growing.
• Depending on the country you are enrolled in group healthcare insurance plans covering your medical needs.
• A chance to become part of a global, innovative company, supporting sustainable productivity.
• You get the opportunity to bring revolutionary ideas fostering innovation and execute qualified ideas.
• A 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
• Atlas Copco offers trainings on a regular basis to acquire new skills.
• You get the opportunity to make the world a better place through our sustainable goals and by contributing and being part of our Water for all projects.
• Friendly and open culture of Swedish company. Very high visibility in the organization with "No door" culture, you can always talk to anyone in the organization.
• Free canteen and transport facility.

\xe2\x80\x8bCity
PuneRecruiterDiverse by nature and inclusive by choice
Bright ideas come from all of us. The more unique perspectives we embrace, the more innovative we are. Together we build a culture where difference is valued and we share a deep sense of purpose and belonging.

Atlas Copco