Top 9 over the top Paying Tech Jobs in 2020


We live in a time of great change career-wise; jobs are lost to automation and others are changing what skills are required. With changes like these in the market, you may be considering a shift to a career in technology or, perhaps, you’re already in the field and want to advance. Whatever your reason, we’ve pulled together a list of the 9 over the top paying tech jobs in 2020 for you.

1. Data Scientist

A data scientist analyzes and interprets complex data to help organizations make better and more timely decisions. A data scientist should be able to:
  • Understand Machine Learning algorithms
  • Create data models
  • Code in languages like Python, R, SAS and other analytical tools
  • Identify business issues and provide appropriate solutions

The average yearly salary of a data scientist is $141,000 i.e. equal to 60-70 LAP here in India.

2. Internet of Things (IoT) Solutions Architect

The IoT solutions architect is a leadership role in overseeing the strategy behind the development and deployment of IoT solutions. In addition to understanding IoT solutions, one should also have strong programming skills, an understanding of Machine Learning, and knowledge of hardware design and architecture.

An IoT solutions architect is responsible for leading as well as participating in the activities around architecture and design, helping to develop an overall IoT ecosystem engagement based on the IoT Solution Framework, and translating business needs into solution architecture requirements.

The average yearly salary of an IoT solutions architect is $133,000.

3. Big Data Engineer

A Big Data engineer plans to design and manages the entire life-cycle of large-scale developments and deployments of Big Data applications. Some of the skills required of a Big Data engineer include:
  • Understanding Hadoop, Spark, and NoSQL, as well as data warehousing technologies
  • Programming skills
  • Data visualization skills
  • Excellent communication skills
The average yearly salary of a Big Data engineer is $140,000.

4. Software Architect

A software architect optimizes the development process by making design choices and dictating technical standards such as coding, tools, and platforms. As part of their role, they identify a customer’s requirements and perform hands-on work to develop prototypes.
Some of the skills required of a software architect include:
  • Data modeling
  • An understanding of software architecture
  • Good programming skills
  • Strong analytical skills

The average yearly salary of a software architect is $130,000.

5. Blockchain Engineer

A blockchain engineer specializes in developing and implementing architecture and solutions using blockchain technology. Due to the rapid rise of this technology, we already have a shortage of trained professionals for this role.

A blockchain engineer should have solid programming skills and a thorough understanding of the technologies behind Ripple, R3, Etherium, and Bitcoin as well as consensus methodologies and the security protocol stacks, crypto libraries, and functions.

The average yearly salary of a blockchain engineer is $130,000.

6. DevOps Engineer

A DevOps engineer is not a clearly defined role. It could refer to someone on the development team taking part in the deployment and network operations, or to someone from the operations team working on application development. Some of the skills required of a DevOps engineer include:
  • Coding and scripting
  • Understanding deployment and network operations
  • Familiarity with DevOps
  • DevOps tools like Git and Jenkins
  • Knowledge of Linux or Unix system administration
A DevOps engineer might be responsible for designing and maintaining a deployment infrastructure, integrating cloud services so that processes can be automated, or shell scripting in PHP/Python and Ruby.

The average yearly salary of a DevOps engineer is $123,000.

7. Cloud Architect

A cloud architect deploys and oversees an organization’s cloud computing strategy. Some of the skills and knowledge required by a cloud architect include:
  • A thorough understanding of cloud application architecture
  • Knowledge of Amazon Web Services (AWS) and Azure
  • Good communication skills
A cloud architect typically is responsible for developing cloud architecture, developing a cloud strategy and coordinating the implementation and deployment of it, and ensuring application architecture and deployments in the cloud environment are done properly.

The average yearly salary of a cloud architect is $118,000.

8. Full-Stack Developer

It is difficult to pin down a definition for a full stack developer, but the closest description would be someone who is well-versed in both front-end and back-end development or someone with skills in every stage of development. Regardless of the variety of definitions, 2017 saw more demand than ever for these professionals.
Some of the knowledge and skills required to become a full-stack developer are:
  • Technologies such as MongoDB, Express.js, AngularJS, and Node.js
  • How to design and develop an API
  • Coding and scripting
  • The fundamentals of web development
  • Basics of database technologies
A full-stack developer is usually responsible for designing and building APIs using MEAN stack technologies, ensuring the applications created are responsive and keep to the required standards, making sure the created code has integrity intact and implementing data security.

The average yearly salary of a full stack developer is $110,000.

9. Artificial Intelligence (AI) Engineer

An Artificial Intelligence (AI) engineer develops, manages and oversees AI initiatives within an organization. Some say it will soon rival data scientists in need of skilled professionals.
An AI engineer should have a deep knowledge of mathematics and statistics. In addition, an AI engineer will:
  • Have solid programming skills and know Python, R, and Torch
  • Understand how TensorFlow and other similar technologies work
  • Have a clear understanding of technologies related to AI, including Machine Learning, Neural Networks, and Deep Learning
The average yearly salary of an AI engineer is $119,000.

Bonus: Product Manager

Product managers, not to be confused with project managers, are an essential part of any business in technology. A product manager is responsible for determining the strategy and team member coordination in relation to a product build. Product managers not only define who will work on a project but also help their team to define the scope of the project and the milestones during the engineering process. This role is essential for product development from conception to launch. Some of the skills required for a product manager are:
  • A strong understanding of the concept of Product Lifecycle Management (PLM)
  • Knowledge of product management tools like PivotalTracker, JIRA, and Asana
  • Strong analytical skills
  • Exceptional time management skills
Product managers are responsible for delivering an operating plan that can help achieve strategic and tactical goals and objectives, building a product portfolio, managing and implementing marketing activities, and contributing to the product strategy and its vision.

The average yearly salary of a product manager is $100,000 i.e. equal to 50-60 LAP over Indian market

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