VP Engineering - Data Platform (Job Code : J44659)
10.00 - 15.00 Years
VP Engineering - Data Platform
BE-Comp/IT, BE-Other, BSc-Comp/IT, BSc-Other, BTech-Comp/IT, BTech-Other, DE-Comp/IT, MBA, MCA, MCM, ME-Comp/IT, ME-Other, MSc-Comp/IT, MS-Comp/IT, MSc-Other, MTech-Other, PGDM
Stream of Study:
IT Software - Systems / EDP / MIS
data architecture,Data Engineering
Job Post Date:
Our Client is Est. in 2018 with the realization that enterprise-wide data access has been siloed; data was simply not available to the people who needed it. Data engineers and database administrators have been the longstanding gatekeepers who funnel data to analysts and data scientists. We aim to change that by democratizing data access, enabling enterprises to make better data-driven decisions.
Our client`s culture maintains four primary values: humility, transparency, accountability, and empathy. They never lose sight of the fact that improving the lives of fellow humans is the ultimate goal of all technology.
When you join our client, you-ll discover a network of co-workers and mentors who are collaborators. Everyone on their team has a unique contribution to make as they work together to craft an individualized approach for their customer solutions.
Our client is looking for candidates for VP Engineering - Data Platform role
As a leader of our engineering team, here is what will be looking for you to bring â€“
A shared passion for all things data. You know how data and insights can help enterprises and are excited to be creating products to do just that
Hands-on engineering leadership
Proven track record of recruiting, retaining and growing high performing engineering teams
Proven track record of innovation and expertise in Data Engineering
Deep understanding and application of modern data processing technology stacks
Deep understanding of streaming data architectures and technologies for real-time and low-latency data processing
Understanding of architecture solutions for data science and analytics such as productionizing machine learning models and collaborating with data scientists
Understanding of agile development methods including core values, guiding principles, and key agile practices
Understanding of the theory and application of Continuous Integration/Delivery Strong stakeholder management and interaction experience at different levels
Modern performance/team management practices to keep the team motivated and aligned with company goals
Exp : Should have hands-on experience with the right technologies needed to be successful in this role ie Apache Spark, Kafka, Hadoop, Kubernetes, R, Python, etc. You will also spend a good amount of time with our engineering team based in Indore
Here is what you will do;
Be the Engineering Leader. Develop modern data architectural approaches and drive the team to meet key business objectives and provide end to end data solutions
Ensure there is structure and predictability to delivering high-quality products by leveraging the right processes where they are needed.
You will spend significant time with our customers understanding their business objectives and delivering products that align with those objectives
The team will look to draw on your experience when things get tough and you often handle the difficult client conversations allowing the team to continue delivering without undue pressure
You recognize that building your relationship with a customer is absolutely key to enable you to perform in your role.
You`ll be drawing on all of your passion for technology, hands-on experience and knowledge of the latest Big Data and Engineering best practices to help you gain the respect and credibility of those around you