Shell Lead Data Architect in Bangalore, India, India
Lead Data Architect
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Put yourself at the centre of leading edge data design and architecting. We’re looking for a data expert who thrives on adding value for the business by finding and using data, on a global scale.
What’s the role?
As Lead Data Architect, you’ll be combining your data and IT expertise with your passion for identifying business needs and maximising opportunities across Shell, managing the delivery and consultancy for all data architecture, throughout the business.
We’ll be looking to you to lead on data architecture for a line of business globally, which means you’ll need to call on your experience of what makes a robust and scalable data architecture.
Your challenge will be to identify and drive to implementation any improvements to getting value from data through analytics, data modelling and integration, data governance and master data management. Spotting opportunities to enhance business processes and improve our portfolio of IT applications, whilst keeping abreast of new and emerging technologies that will drive business performance.
Good people skills will come naturally to you. You’ll be comfortable working within a global, virtual team, flexing your leadership & negotiating skills across a range of stakeholders, from senior IT and business management to business analysts.
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Shell began operations in India more than 80 years ago. At Shell India, we invest in our people through our industry-leading development programme, which sees our employees thrive and gain access to experts on a local and global level. To date, we have invested more than US$ 1 billion already in India’s energy sector alone in socially and environmentally responsible ways. It is the only global major to have a fuel retail license in India. The Shell Technology Centre Bangalore, STCB, is one of the three global hubs for technology in the Projects & Technology business of Royal Dutch Shell. In addition, we supply crude, chemicals and technology to public and private sector oil companies, and our Chennai Business Centre provides a wide range of finance, accounting and business services to Shell globally.
Shell is a company with shared values. Honesty, integrity, and respect aren't simply a strapline: they are a part of everything we do. What's more, Shell is an equal opportunities company, and we place the highest possible value on the diversity of our people and our inclusive approach. Join us and you’ll belong to a world where you can feel pride in your achievements and propel your career with global opportunities
We care deeply about fostering a truly diverse workplace. We believe in doing everything we can to make Shell as flexible, appealing and supportive a place for women to work as possible. We help with things like our formal (and informal) flexible working. Like our global and transparent pay policies, backed by a leadership team fully supportive of our diversity ambitions. And we'll foster your career through our Women's Career Development programme.
People with an impairment
At Shell, we're all about top talent. End of story. We encourage anyone who may face an impairment to see Shell as a place where you'll be fully supported to grow and develop your career. It's as simple as that. If you'd like to apply, just let us know about your circumstances. We can support you throughout the process: from application, to interview, to your first day of a rewarding career with us.
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Bangalore - Shell Technology India
What we need from you
We expect you’re a graduate with a strong can-do attitude, who works well off your own initiative, and can thrive on resolving challenges and communicating risks. Naturally, also with an excellent understanding of data architecture and data management. Beyond that, we’re keen to hear from men and women with as much of the following on their CV:
Experience in a multi-disciplined IT environment, with strong expertise in data analysis and modelling.
Knowledge of all data architecture disciplines, including big data, master data management, data governance and data quality.
Experience with data modelling, including TNF and dimensional, at all levels.
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