As a Senior Manager for Data Engineering team, you will manage data platforms and implement new technologies and tools to further enhance and enable data science/analytics, focusing on driving scalable data management and governance practices. Leading the team of data engineers & solutions architects to deliver solutions to business teams.
- Driving the vision with leadership team for data platforms enrichment covering the areas like Data Warehousing/Data Lake/BI across the portfolio.
- Defining and executing on a plan to achieve that vision.
- Building a high-quality Data engineering team and continue to drive to scale up.
- Ensuring the team adheres to the standard methodologies on data engineering practices.
- Building cross-functional relationships with Data Scientists, Data Analysts and Business teams to understand data needs and deliver data for insight solution.
- Driving the design, building, and launching of new data models and data pipelines.
- Driving data quality across all data pipelines and related business areas.
In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.
What we're looking for...
You are curious and passionate about Data and highly scalable data platforms. People count on you for your data management expertise in all software development cycle phases. You create environments where teams thrive and feel valued, respected, and supported. You enjoy the challenge of managing resources and competing priorities in a dynamic, complex and deadline-oriented environment. Building effective working relationships with other organizational managers comes naturally to you.
You'll need to have:
- Bachelor's degree or four or more years of work experience.
- Eight or more years of relevant work experience.
- Two or more years of experience in leading the team and tracking the end-to-end deliverables.
- Experience in end-to-end delivery of Data Platform Solutions and working on large scale data transformation.
- Knowledge of Google Cloud Platform/BigQuery, Data Flow,
- Knowledge of Spark, Hive, Scala, Kafka, Java/Python, Shell scripting.
- Knowledge of Teradata.
- Experience in working with DevOps tools like Bitbucket, Artifactory, Jenkins.
- Knowledge of Data Governance and Data Quality.
- Experience in building / mentoring the team.
Even better if you have one or more of the following:
- Master's degree.
- Experience in data engineering, GCP, big data, hadoop and DevOps technologies.
- Certifications in any Data Warehousing/Analytical solutioning.
- Certification in program/project management.
- Experience in technical leadership in architecture, design, implementation and support of large-scale data and analytics solutions that are highly reliable, flexible, and scalable.
- Ability to meet tight deadlines, multi-task, and prioritize workload.
- Experience in collaborating with cross-functional teams and managing stakeholder expectations.
- Experience in working with globally distributed teams.
- Good Communication and Presentation skills.
