Mastering Roles in New Data Platform Development


From data engineer to domain expert—what it takes to build a new data platform

Towards Data Science
The best data engineers are runaway software engineers; the best data analysts, scientists, and solution (data) architects are runaway data engineers; and the best data product managers are runaway data analysts or scientists.” [Photo by Yurii Khomitskyi on Unsplash]

Ever wonder why roles with multidisciplinary skills are the key to successful delivery in new data settings? — If curious, read this post to discover how hybrid roles and their LSS capabilities can get you from idea to revenue.

After spending years navigating the complexities of evolving technologies and business demands in the data world, I’ve gathered some wisdom of my own—much of it centred on driving new developments or re-engineering existing ones.

I can’t say it was always an intuitive or straightforward journey to improve or create something from scratch, or that this path was free of mistakes. Yet, through these experiences, I have learned what it takes to build a new and high-performing data team, lead a new data project, or design an ecosystem of new data products that drive business value up.

With all the business and technical variables, the positive outcome usually depends on one constant—the right people who will support and shadow you.

At its core, the success of the new data platforms boils down to the proper selection of individual contributors with multidisciplinary and complementary skills. These…

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