登录查看更多内容

You're met with resistance from your team on data engineering changes. How will you navigate their pushback?

由人工智能和领英社区提供技术支持

Facing resistance when implementing new data engineering practices is a challenge you might encounter. It's essential to navigate these situations with a blend of empathy and strategy. As a data engineer, you're tasked with managing and optimizing the flow of data within an organization. When proposing changes, such as introducing new tools or processes, it's common to meet some pushback. Understanding the root of your team's concerns and addressing them directly is crucial for successful implementation. This article will guide you through the steps to manage resistance and foster a collaborative environment for your data engineering initiatives.

此文章中的业界达人

由社区从 7 条内容中精选。了解更多

Axel Schwanke

Senior Data Engineer | Data Architect | Data Science | Data Mesh | Data Governance | 4x Databricks certified | 2x AWS…
Matheus Vidal Grunewald

Data Engineer | AWS | GCP | Spark | Python

1 个答复
Tulsi Palan

Data Engineer at WCG | Ex-ZSer | Nirma University Undergrad

1 Assess Concerns

Before reacting to resistance, take time to understand your team's concerns. Engage in open dialogue to uncover the reasons behind their reluctance. It could be fear of the unknown, lack of understanding of the new practices, or concerns about job security. By actively listening, you demonstrate respect for their expertise and create an opportunity for constructive feedback. This approach will not only help in identifying the specific issues but also will build trust, which is vital for any change management process.

添加您的观点

Nikhil Meghnani

Cloud Data Engineer | AWS, Azure, Microsoft Fabric, PySpark, Python, SQL | AWS Certified Data Analytics Specialist | Microsoft Fabric Certified
举报内容
Instead of imposing changes, involve the team in the decision-making process. This creates ownership and reduces resistance. Example: Form a working group to brainstorm solutions and implement the changes together. This collaborative approach can foster a sense of shared responsibility.

已翻译

赞
Tulsi Palan

Data Engineer at WCG | Ex-ZSer | Nirma University Undergrad
举报内容
Engage with your team to understand their reservations and the root causes of their concerns regarding the proposed changes. Actively listen to their feedback, identify specific pain points such as potential workflow disruptions or skill gaps, and show empathy by acknowledging the validity of their concerns. This approach demonstrates that you value their input and are committed to addressing their needs.

已翻译

赞
Satya Srinivas

Chief Data Officer @ Diggibyte | Digital Transformation Leader | Data Modernisation Leader | Strategic Thinker
举报内容
When faced with resistance from my team on data engineering changes, I will first listen to their concerns to understand the root of their hesitation. I will ensure transparent communication, explaining the reasons and benefits behind the proposed changes. I will involve them in the decision-making process, allowing them to share their input and feel ownership over the changes. By providing training and resources, I will help ease the transition and build confidence. I will also highlight quick wins to demonstrate the positive impact of the changes, fostering a more collaborative and open-minded environment.

已翻译

赞

2 Communicate Value

Once you've identified the concerns, it's important to articulate the value of the proposed changes. Explain how new data engineering practices can lead to more efficient workflows, improved data quality, and ultimately benefit the team's work. Use concrete examples and relate the changes to their daily tasks to make the benefits more tangible. Effective communication is key to helping your team understand the "why" behind the changes and can go a long way in reducing resistance.

添加您的观点

Matheus Vidal Grunewald

Data Engineer | AWS | GCP | Spark | Python
举报内容
Uma mudan?a sempre vai gerar medo em quem já está acostumado com o que faz por isso a comunica??o do valor de uma mudan?a é t?o importante para essa quebra de resistência e principalmente para n?o parecer que é só uma mudan?a pela mudan?a. O maior risco que se corre ao apresentar uma mudan?a é de se parecer que quer mudar algo apenas por mudar, ent?o é muito importante que se fa?a um mapeamento dos ganhos para que isso fique claro a todos, com isso, a barreira da resistência tente a ser menor.

已翻译

赞
Tulsi Palan

Data Engineer at WCG | Ex-ZSer | Nirma University Undergrad
举报内容
Clearly articulate the benefits of the proposed changes to the team, highlighting improvements in efficiency, scalability, and data quality. Connect these advantages to broader organizational objectives and team goals, demonstrating how the changes will contribute to overall success. Use data and case studies to provide concrete examples of positive impacts from similar changes, helping to build trust and buy-in.

已翻译

赞

3 Provide Training

A common source of resistance is the fear of not being able to adapt to new tools or processes. To mitigate this, offer comprehensive training and support. Ensure that your team has access to resources that will help them gain the necessary skills and confidence to embrace the changes. This could include workshops, documentation, or one-on-one mentoring. By investing in your team's development, you're not only easing the transition but also enhancing their professional growth.

添加您的观点

4 Pilot Programs

Implementing a pilot program is a practical way to demonstrate the effectiveness of new data engineering practices. Choose a small, controlled project where you can apply the changes and showcase tangible results. This allows your team to see firsthand how the new methods can work in a real-world setting. Success in a pilot can help dispel doubts and build momentum for wider adoption across the organization.

添加您的观点

Matheus Vidal Grunewald

Data Engineer | AWS | GCP | Spark | Python
举报内容
Ao apresentar uma mudan?a é importante envolver todo o time nela, para que n?o seja uma decis?o unilateral. Disponibilizar o código/infra para que os demais fa?am seus próprios testes é essencial para que todos sejam parte do processo e possam opinar com mais certeza e dessa forma enriquecer o conhecimento de todos e talvez até identificar gaps na melhoria proposta que o proponente n?o visualizou antes. Apresente sua melhoria e se possível dê um prazo razoável para que todos possam testar e depois disso voltem a conversar entre si para que cheguem juntos a uma conclus?o a cerca da implementa??o ou n?o da melhoria.

已翻译

赞

5 Gather Feedback

After rolling out new practices, actively seek out feedback. This should be an ongoing process where your team can share their experiences and suggest improvements. Open channels of communication ensure that everyone feels heard and involved in the process. Use this feedback to make adjustments and show your team that their input has a direct impact on how data engineering practices are implemented.

添加您的观点

Axel Schwanke

Senior Data Engineer | Data Architect | Data Science | Data Mesh | Data Governance | 4x Databricks certified | 2x AWS certified | 1x CDMP certified | Medium Writer | Nuremberg, Germany
举报内容
If your team encounters resistance to changes in data technology, consider also these tactics ... Gather feedback early: gather opinions from team members about their concerns and suggestions. This will help identify potential issues and build a sense of buy-in, making the team more receptive to change. Address concerns transparently: Clearly explain the reasons for the changes and how they align with company goals. Address specific concerns of the team to build trust and understanding. Provide support and training: Provide adequate resources and training to help the team adapt to the changes. Ensuring the team has the necessary skills and knowledge can reduce resistance and increase confidence.

已翻译

赞

6 Celebrate Successes

Recognizing and celebrating successes is crucial for maintaining morale and reinforcing the positive aspects of the changes. When your team achieves milestones or overcomes challenges with the new practices, take the time to highlight these achievements. Celebrating these wins not only boosts morale but also reinforces the value of the changes, encouraging further engagement and support from your team.

添加您的观点

Data Engineering

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

You're met with resistance from your team on data engineering changes. How will you navigate their pushback?

1

2

3

4

5

6

1 Assess Concerns

2 Communicate Value

3 Provide Training

4 Pilot Programs

5 Gather Feedback

6 Celebrate Successes

Data Engineering

给文章评分

感谢您的反馈

更多Data Engineering相关文章

更多相关阅读内容

You're met with resistance from your team on data engineering changes. How will you navigate their pushback?

1

2

3

4

5

6

1 Assess Concerns

2 Communicate Value

3 Provide Training

4 Pilot Programs

5 Gather Feedback

6 Celebrate Successes

Data Engineering

给文章评分

感谢您的反馈

查看其他技能