Senior Data Pipeline Architect
6 days ago
Sigmoid is seeking a highly skilled Senior Data Pipeline Architect to lead our DevOps Engineering team.
Job OverviewThis role offers the opportunity to design and implement scalable data pipelines that will serve as the foundation for collecting, storing, modeling, and analyzing massive datasets from multiple channels.
The ideal candidate will have a strong track record of building and shipping large-scale engineering products and/or knowledge of cloud infrastructure such as GCP/AWS.
About YouWe are looking for an experienced professional with a passion for DevOps and data engineering. The successful candidate will be able to:
- Align Sigmoid with key client initiatives and interface daily with customers across leading Fortune 500 companies to understand strategic requirements;
- Connect with VP and Director level clients on a regular basis;
- Travel to client locations;
- Understand business requirements and tie them to technology solutions;
- Strategically support technical initiatives;
- Design, manage & deploy highly scalable and fault-tolerant distributed components using BigData technologies;
- Evaluate and choose technology stacks that best fit client data strategy and constraints;
- Drive Automation and massive deployments;
- Ability to drive good engineering practices from bottom up;
- Develop industry leading CI/CD, monitoring and support practices inside the team;
- Develop scripts to automate devOps processes to reduce team effort;
- Work with the team to develop automation and resolve issues;
- Support TB scale pipelines;
- Perform root cause analysis for production errors;
- Support developers in day-to-day devOps operations;
- Excellent experience in Application support, integration development and data management;
- Design roster and escalation matrix for team;
- Provide technical leadership and manage it day to day basis;
- Guiding DevOps in day-to-day design, automation & support tasks;
- Play a key role in hiring technical talents to build the future of Sigmoid;
- Conduct training for technology stack for developers in house and outside;
To be successful in this role, you will need:
- 5 - 7 years track record of relevant work experience and a computer Science or a related technical discipline;
- Proven track record of building and shipping large-scale engineering products and/or knowledge of cloud infrastructure such as GCP/AWS preferred;
- Experience in Shell, Python, or any scripting language;
- Experience in managing Linux systems, build and release tools like Jenkins;
- Effective communication skills (both written and verbal);
- Ability to collaborate with a diverse set of engineers, data scientists and product managers;
- Comfort in a fast-paced start-up environment;
The ideal candidate will have a salary range of $120,000 - $180,000 per annum based on location and experience.
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