Sr. Advisory Data Engineer

Syniverse is the world’s most connected company. Whether we’re developing the technology that enables intelligent cars to safely react to traffic changes or freeing travelers to explore by keeping their devices online wherever they go, we believe in leading the world forward.  Which is why we work with some of the world’s most recognized brands. Eight of the top 10 banks. Four of the top 5 global technology companies. Over 900 communications providers. And how we’re able to provide our incredible talent with an innovative culture and great benefits.

Who We're Looking For

We are looking for a savvy Senior Advisory Data Engineer to join our growing team of analytics experts. The Senior Advisory Data Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Senior Advisory Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

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Some of What You'll Do

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Proactively identify and lead the design and implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Palantir and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Partner with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Ensure our data is separated and secure across national and international boundaries through multiple data centers
• Work with data and analytics experts to strive for greater functionality in our data systems
• Become an SME in Data Engineering and mentor peers on appropriate technical methodologies and implementations

 

Requirements

• Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
• Minimum of 12+ years of experience in a Data Engineer role or related field
• Experience using the following software/tools:
•    Big data tools: Hadoop, Palantir, Spark, Kafka, etc.
•    Relational SQL: Postgres, Oracle, etc.
•    Data pipeline and workflow management tools: StreamSets, Palantir Foundry, etc.
•    Stream-processing systems: Storm, Spark-Streaming, Apache Flink etc.
•    Object-oriented/object function scripting languages: Python, Perl, etc.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with unstructured datasets
• Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Strong project management and organizational skills
• Experience supporting and working with cross-functional teams in a dynamic environment

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Why You Should Join Us

Join us as we write a new chapter, guided by world-class leadership. Come be a part of an exciting and growing organization where we offer a competitive total compensation, flexible/remote work and with a leadership team committed to fostering an inclusive, collaborative, and transparent organizational culture.

At Syniverse connectedness is at the core of our business. We believe diversity, equity, and inclusion among our employees is crucial to our success as a global company as we seek to recruit, develop, and retain the most talented people who want to help us connect the world.

Know someone at Syniverse?

Be sure to have them submit you as a referral prior to applying for this position.