Sigmoid

About Sigmoid

Transforming data into actionable insights for enterprises

🏢 Tech👥 251-1K📅 Founded 2013📍 San Francisco, California, United States

Key Highlights

  • Headquartered in San Francisco, California
  • Over 500 employees focused on data solutions
  • Partners with Fortune 500 companies for data analytics
  • Utilizes open-source and cloud technologies

Sigmoid, headquartered in San Francisco, California, specializes in data solutions that leverage real-time analytics and machine learning. The company partners with clients like Fortune 500 companies to build and manage large-scale data platforms using open-source and cloud technologies. With a work...

🎁 Benefits

Employees enjoy competitive equity options, generous PTO policies, flexible remote work arrangements, and a learning budget for professional developme...

🌟 Culture

Sigmoid fosters a culture that emphasizes data-driven decision-making and innovation, encouraging teams to experiment with new technologies and method...

Sigmoid

Dataops Engineering Manager Lead

SigmoidBangalore

Apply Now →

Overview

Sigmoid is hiring a DataOps Engineering Manager to lead a team focused on building operational excellence around a scalable big data platform. You'll work with cloud technologies like AWS, GCP, and Azure, and implement DevOps practices. This role requires experience in data engineering and team leadership.

Job Description

Who you are

You have 5+ years of experience in data engineering and a strong background in leading teams to deliver high-quality data solutions. Your expertise includes architecting and implementing cloud-based data solutions, and you are well-versed in agile methodologies. You have a proven track record of interfacing with clients, particularly at the director level, to understand their strategic requirements and align your team's efforts accordingly. Your experience with DevOps tools and processes, including infrastructure as code and continuous deployment, sets you apart as a leader in the DataOps space.

You thrive in collaborative environments and enjoy working with cross-functional teams to solve complex business challenges. Your ability to communicate effectively with both technical and non-technical stakeholders ensures that you can bridge the gap between engineering and business needs. You are passionate about data and its potential to drive decision-making in organizations, and you are eager to mentor and develop your team members.

What you'll do

As a DataOps Engineering Manager at Sigmoid, you will lead a team responsible for building and maintaining a highly scalable big data platform. You will work closely with clients, including Fortune 500 companies, to understand their data needs and ensure that your team delivers solutions that meet those requirements. Your role will involve overseeing the development and implementation of cloud data solutions, leveraging platforms such as AWS, GCP, and Azure.

You will be responsible for fostering a culture of operational excellence within your team, implementing best practices in data engineering and DevOps. This includes managing workloads, ensuring data quality, and optimizing data pipelines for performance and scalability. You will also play a key role in client interactions, traveling to client locations as needed to strengthen relationships and gather feedback on your team's work.

In addition to technical leadership, you will focus on team development, conducting regular one-on-ones and performance reviews to help your team members grow in their careers. You will encourage a collaborative environment where innovation is celebrated, and team members feel empowered to share their ideas and solutions.

What we offer

At Sigmoid, we offer a dynamic work environment where you can make a significant impact on our clients' success. You will have the opportunity to work with cutting-edge technologies and collaborate with a talented team of professionals. We believe in investing in our employees' growth and provide ample opportunities for professional development and training. Our culture emphasizes teamwork, innovation, and a commitment to excellence, making it an exciting place to advance your career in data engineering and management.

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