Sr. Manager, Data Engineering - job 21 of 23

The Sr. Manager, Data Engineering at Visa Technology & Operations LLC is responsible for building a strong team focused on data engineering across various corporate use cases. Responsibilities include leading technical discussions, managing multiple work streams, cultivating relationships with key stakeholders, and ensuring adherence to best practices in application and operational excellence.

Candidates for the Sr. Manager, Data Engineering position at Visa Technology & Operations LLC should possess strong technical and leadership skills along with experience in data engineering roles. A proven track record of building and leading teams, exceptional communication abilities, and the capacity to inspire teams toward operational excellence are essential qualifications for this position.

Essential skills for the Sr. Manager, Data Engineering role at Visa Technology & Operations LLC include strong data engineering expertise, leadership and interpersonal communication skills, and proficiency in collaborating with diverse teams. Additionally, a focus on innovation, the ability to drive technical discussions, and a commitment to fostering an inclusive team culture are critical.

The Sr. Manager, Data Engineering at Visa Technology & Operations LLC plays a vital role in nurturing a collaborative and innovative team culture. By advocating for inclusion, encouraging creativity, and leading by example through excellent communication and leadership, this role helps foster a positive environment where all team members feel valued and empowered.

Yes, the Sr. Manager, Data Engineering position at Visa Technology & Operations LLC offers the flexibility for partial telecommuting, allowing team members to balance work and personal commitments while still contributing effectively to team goals and projects.

When building a data engineering team, I would focus on identifying diverse skill sets and backgrounds, prioritizing collaboration and innovation. I’d ensure that team members are well-supported through training and mentorship, and I’d promote an open culture where ideas are shared freely.

Effective communication is achieved by establishing regular check-ins, promoting an open-door policy, and using collaborative tools that enhance dialogue. I believe in encouraging feedback and fostering an environment where team members feel comfortable discussing challenges and solutions.

In my previous role, I led an initiative to standardize code reviews and establish thorough testing protocols. This not only improved our code quality but also reduced deployment times significantly, demonstrating the value of best practice implementation.

My approach involves understanding stakeholder goals and aligning technical discussions with these objectives. I focus on presenting information clearly and contextually, ensuring that all parties feel included and that their insights are valued.

I measure success through various metrics, such as the quality of code, the efficiency of data pipelines, and the team's ability to meet project deadlines. Additionally, I gather feedback from stakeholders on deliverables and assess team satisfaction and engagement.

I have extensive experience with data engineering tools such as Apache Spark, Hadoop, and data warehousing solutions like Snowflake and Redshift. I leverage these tools to streamline data processing and ensure high-quality data delivery for analytical purposes.

Promoting innovation involves encouraging experimentation and providing a safe space for team members to share new ideas. I regularly hold brainstorming sessions and innovation challenges to inspire creative solutions to business problems.

I once managed a situation where a team member was not meeting expectations. By addressing issues directly and providing constructive feedback, I helped them to identify areas for improvement and supported them through additional training and resources.

I actively participate in industry conferences, subscribe to relevant journals, and engage with data engineering communities online. Continuous learning is key, and I make it a point to share insights and new knowledge with my team.

I believe the most critical qualities include strong leadership skills, the ability to inspire and motivate teams, technical expertise in data engineering, and excellent communication skills to bridge the gap between technical and non-technical stakeholders.