Big Data DevOps Engineering Technical Leader - 100% Remote US

Company Description

As a key aide to both the IT Infrastructure and Development teams, we are looking for someone who can lead a team of Big Data Platform Engineers supporting data management platforms globally. This is an exciting opportunity to come and work in a company that develops many solutions involving data platforms at their core. You will manage data platform environments and engineers to maintain, optimize, develop, and integrate working solutions for our big data, relational data management technologies. You'll support the product development process following the product roadmap for product maintenance and enhancement such that the quality of software deliverables maintains excellent customer relationships and increases the customer base.

You will have experience with leadership and influence. You will be driving the data platforms support for our web, online, and batch systems which are critical for delivering results. You will drive change across a broader organization. The role includes team mentoring, training, forecasting and goal setting for the staff.

An overall experience of big data platforms, databases is required. Candidate should have a mastery of a wide range of Big Data, database architectures for 24/7 transactional and batch systems. An added plus would be experience in embracing cloud native principles (12-factor concepts etc.). A major plus is experience in data warehouse designing, master data management, unstructured data and metadata management.

 If you have the skills and “can do” attitude, we would love to talk to you!

This position is fully remote in the US and reports to the Director of Data Strategy.

Job Description

• Implementation and ongoing administration of OCI Data Platforms (Cloud Native Bigdata, Golden Gate, ODI, Autonomous Datawarehouse etc.) in hybrid environments On-premises/Co-Lo/Cloud
• Hands-on Technical leader working with team, including participating in on call rotation.
• Provide technical leadership to build high-quality performant big data platform solutions that scale well conforming to internal and industry enterprise standards.
• Lead engineering teams and drive new efforts, embrace cloud native principles (12-factor concepts, and similar), automation, CI/CD, including a coding skillset.  
• Bring a DevOps mindset to enable big data and batch/real-time analytical solutions that use emerging technologies
• Ensure team members follow software development life cycle “SDLC” (branch/release strategies, peer review and merge practices, CI and CD pipelines) practices so that solutions meet specified requirements (e.g., business requirements, company enterprise standards, quality, availability and performance expectations)
• Manage coding practices such as Structured Query Language (SQL), Python, Scala etc. across data management platforms
• Manage dependencies, collaborate with relevant teams like product managers, operations, customer research teams to deliver business objectivities
• Maintain and improve existing codebases and contribute technically to the overall engineering processes followed in Connected Technologies
• Review, design and vet architecture, system design to solve complex distributed system problems with scale and security
• Collaborate with Senior Management, Product Managers, Tech Leads etc. and help build backlogs for product
• Identify and encourage adoption of new technologies, tools, processes as needed
• Unblock Engineers and ensure project milestones are met
• Establish and monitor objectives for all team members by providing regular feedback, coaching, training and development that fosters both personal and organizational growth
• Build and test code using tools like Jenkins
• Develop a team-oriented, supportive culture with a strong focus on creating a working environment that fosters creativity and open communication, as well as one that demands discipline and results
• Build a first-class Engineering team that will scale as the business grows, identifying and filling any organizational gaps
• Continually strengthen and simplify the engineering ecosystem

Qualifications

• Typically requires a bachelor's degree (in Computer Science or related field) or equivalent.
• 10+ years of proven experience in data management platform (Applications, Middleware) engineering, including leadership
• 10+ years of experience with software backend systems, architectures, infrastructure, especially cross-platform, Hadoop systems.
• Expert level in designing and implementing large scale data platform systems catering to consumer products with Hadoop distribution both hybrid and cloud native platforms
• Expert level in managing coding practices such as SQL, Python, Scala etc. across data management platforms
• Expert level in OCI systems