Your Data Engineer Just Left. Now What?

‍

Did your Data Engineer win the Powerball and leave you to fill their shoes? In all seriousness, no one loves losing a valued team member, especially the IT department. It can lead to a leaky structure in your organization if not addressed. Having a contingency plan is crucial to the continuity of your business. In this blog, we’ll break down how to handle your Data Engineer’s exit.

‍

‍

Why Do You Need a Data Engineer? 

‍

Did you know that nearly 70 % of Data Engineers leave before reaching their 5th anniversary? This is the result of burnout and tedious work. Data infrastructure is the foundation to smooth business operations, so it’s essential to have staff to manage it and be highly available. 

Your Data Engineer is ultimately responsible for data manipulation, data governance, data modeling, database management, data transformations, data quality, and performance optimization. Additionally, other functions of the job include ensuring the platform has high availability, proper backup, and is secure from unidentified access. Hiring qualified staff with this level of expertise can be challenging. Additionally, the occupation is in high demand. Thankfully, there are options you can leverage. 

For starters, you can hire internally. While this could be challenging if you don't have anyone else on staff with similar ancillary skills, it’s worth evaluating. Another option is utilizing DataStrike for your data infrastructure needs. With our services, you will have a reliable data infrastructure management model, built to last during economic hardship thanks to our cost-friendly offerings.

‍

Top Things to Assess 

‍

When your Data Engineer resigns, handling your company’s in-house infrastructure can be challenging. 

‍

Consider the following when assessing your new reality:

‍

1. What Are the Risks: Assess what may need damage controlled, how you may substitute their work, and what your staff needs. 

2. What’s the Business Impact: Will your environment be disrupted, leading to operational failures? How will your team be impacted? Did they have knowledge that others on your staff don’t possess? 

3. How Will the Workload Be Handled: It may feel like a scramble to pick up the pieces once your Data Engineer leaves. DataStrike can quickly step in and become an extension of your team. Your current staff could use a break - you want to avoid them leaving as well! We can take overnights, weekends, and holidays to give them a deserved break. We can take care of the more mundane tasks - giving them the freedom to focus on larger projects!

4. Who Else Has Knowledge: Having a contingency plan is a logical solution.  Supplementing your workload with DataStrike is an easy solution. You can leverage expert fractional support to reduce costs while you hire new staff.

‍

If you follow these steps, you can mitigate the damage of your Data Engineer leaving;

‍

In-House Team vs Outsourcing  

‍

Having a Data Engineer on staff means you have two options, employing an in-house team, or outsourcing it. 

Your in-house member manages databases and cloud infrastructure internally. Choosing in-house is beneficial because they have a deep understanding of your platforms and can provide more tailored support. However, they can be expensive to keep on board and may not possess the same knowledge as our experts.

As an outsourced MSP, DataStrike has experts with over 100 years of experience. Outsourcing is typically more affordable than hiring internally. This is the right solution if you need a highly flexible and customized solution once they exit. 

‍

Remote Data Engineer Services 

‍

Your company’s Data Engineer is an integral part of your IT infrastructure. They help to support the management and overall maintenance of your database, ensuring maximum efficiency. You may see an increase in issues now that they’re gone, which typically include loss of sensitive data, a decrease in productivity, and significant downtime. You can avoid these issues by employing a remote service. You can leverage DataStrike for a fraction of what you pay an in-house Data Engineer while bringing someone on your staff with the experience and training your company needs.

‍

There are many benefits to using DataStrike services, including: 

‍

• Expenditure Reduction: Employing a remote MSP service reduces expenditures you considered for employing a full-time, in-house team. 
• Risk Reduction: DataStrike experts offload cycle and documentation to become an extension of your team.
• 24x7x365 Service: Our Data Engineers will handle overnight processing and management of the infrastructure. 
• Flexibility: With a remote Data Engineer, you can scale your demand up or down accordingly without worrying about staff additions or reductions. 
• Improved Service: While having an on-site team is helpful, hiring remotely can be more beneficial as we respond expeditiously at all hours of the day and night patch system errors.

‍

In Conclusion…

‍

The thought of losing a key organizational piece like a Data Engineer is tough to handle. However, if you have a plan in place for their exit, you’ll be prepared. There are various options at your disposal, so make sure you have a plan. DataStrike will provide you with fractional support and 24x7x365 monitoring and maintenance of your platforms to ensure you experience maximum uptime.

‍

About DataStrike

‍

DataStrike is the industry leader in 100% onshore data infrastructure services and enables companies to harness IT changes as a catalyst for growth. With a network of highly specialized experts, strategic partnerships with the world's biggest technology providers, and a platform agnostic approach, DataStrike provides innovative solutions and practical guidance to accelerate digital transformation initiatives and drive better business outcomes for small-to mid-sized businesses. Click here to learn more about our service offerings.      

‍