Senior Practice Manager - Data Engineering

As a Senior Practice Manager - Data Engineering at Rackspace, your primary responsibilities include leading a skilled team in the Data, Analytics, and AI/ML practice while engaging in professional services delivery. You'll strategize complex data solution initiatives, mentor your team, and ensure successful execution of projects focusing on Data Modernization. Additionally, you'll serve as the primary technical contact between customers and engineering teams and advocate for best practices in GCP and AWS cloud solutions.

To qualify for the Senior Practice Manager - Data Engineering role at Rackspace, candidates should possess 12+ years of experience in designing and implementing Big Data solutions coupled with a robust professional services background. A minimum of 5 years in leading technical teams is essential, along with demonstrated experience with cloud data solutions on AWS and GCP. Relevant certifications like AWS Solutions Architect Professional and GCP certification are also mandatory.

Rackspace values growth and development, particularly for roles like Senior Practice Manager - Data Engineering. In this role, you will mentor a dedicated team of professionals, fostering their skills in Big Data practices. The company encourages continuous learning through access to training resources, workshops, and collaboration opportunities, enabling you to shape your team's professional journey while also advancing your personal knowledge and expertise.

The work culture at Rackspace for a Senior Practice Manager - Data Engineering is inclusive, collaborative, and innovative. You'll be joining a team that encourages open communication, values each member's contributions, and fosters an environment where creativity and passion for technology thrive. Leadership roles like this one are about inspiring others, advocating for professional growth, and fostering an atmosphere where everyone feels empowered to reach their potential.

For the Senior Practice Manager - Data Engineering position at Rackspace, candidates can expect a competitive compensation package. The anticipated starting salary ranges from $180,300 to over $308,000, depending on experience, qualifications, and location. Additionally, there are opportunities for variable compensation in the form of bonuses based on individual and company performance, alongside a comprehensive benefits package that supports employee well-being.

In leading a team as a Senior Practice Manager - Data Engineering, focus on specific instances where you guided your team through complex projects. Share examples of how you inspired your team, facilitated their professional growth, and addressed challenges effectively. Emphasize your leadership style and the importance of mentoring to cultivate talent in Big Data practices.

When managing Data Modernization initiatives, outline your strategic approach, starting from understanding customer objectives, developing a project plan, and mobilizing resources. Discuss your methodology for ensuring quality deliverables while maintaining timely execution. Highlight collaboration with cross-functional teams to facilitate seamless implementations.

To foster effective communication, I prioritize transparency and frequent updates. I establish common channels for discussion and ensure that both technical teams and stakeholders understand project requirements. Providing a clear context for technical decisions encourages collaboration and trust within the team, making it easier to address challenges collectively.

Outline your direct experience with AWS and GCP data solutions by discussing specific projects where you implemented or optimized these cloud platforms. Explain the services you utilized, such as data ingestion frameworks, big data analytics tools, or machine learning services, and the outcomes achieved through these solutions.

Measuring success in data projects involves identifying key performance indicators (KPIs) that align with customer objectives. I evaluate project outcomes by assessing data quality improvements, the efficiency of data processes, and overall impact on the customer’s decision-making capabilities. Collecting feedback from clients is crucial for continuous improvement.

Select a challenging project where you faced significant obstacles, whether technical or organizational. Detail your strategy for overcoming these challenges, the team dynamics, and how you ensured a successful outcome despite the difficulties. Emphasize your problem-solving skills and the importance of adaptive leadership in such situations.

Mentoring involves not just sharing technical knowledge, but also understanding the individual's career aspirations. I would start by establishing a rapport, identify their specific learning goals, and pair them with relevant hands-on opportunities. Regular feedback sessions and constructive discussions about their progress are essential to guide their professional development.

My strategy for handling conflicts involves addressing the issue head-on with open communication. I encourage team members to voice their concerns and collaborate on finding solutions. By fostering a supportive team culture, we can turn conflicts into opportunities for growth, understanding, and improved collaboration.

Agile methodologies are crucial as they promote flexibility and responsiveness in managing data projects. By breaking down tasks into smaller, manageable units, teams can quickly adapt to changes, prioritize key features, and deliver value incrementally. This approach enhances collaboration and ensures that we remain aligned with client goals throughout the project lifecycle.

When advocating for cloud technologies, I focus on educating customers about their long-term benefits such as scalability, cost-effectiveness, and innovation. Sharing success stories and case studies from previous implementations adds credibility. I also conduct workshops to demystify cloud solutions, addressing concerns and aligning technology with the customer’s business vision.