Lead Integration Engineer

Job Description

What you will do :

As the Lead, Integration Engineering, you will design, build and prototype integration solutions, primarily APIs and Event-Driven Architectures, to empower our Data & Analytics teams with timely and relevant data. You’ll partner with our Data Product Owners to enable and elevate Integrations as a Product, in order to drive more findability, accessibility, interoperability and re-usability within the integration landscape.

Key Responsibilities :

– Lead a cross-vendor team of platform & product owners, technical experts, & other specialists to shape, build and deliver integration solutions for Data Products, in order to optimize upon investments and aligning integrations against findability, accessibility, interoperability and re-usability goals

– Partner with the Director of Integration Products to craft an integration strategy, with a focus on Data & Analytics use cases, to address immediate challenges, simplify integration landscape, utilize common patterns and standard technologies

– Engage the necessary and appropriate resources across product lines and map integration patterns with solutions and development team capacities

– Implement best practices around systems integration, security, performance and data management

– Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions

– Implement DevOps, DataOps and Agile methodologies to improve KPIs like cycle times, consistency, and quality

– Define development guidelines and standards to be utilized in application development and integration.

– Implement hybrid integration solutions addressing data and application integration needs, and cloud-to-cloud, cloud-to-on-premise, and on-premise-to-on-premise scenarios

– Continuously search for ways to eliminate redundancies & inefficiencies while streamlining costs to reinvest in new innovations through technology lifecycle management & total cost of ownership

– Drive innovation & thought leadership by anticipating & responding to rapidly changing industry trends, translating relevant insights into solutions that add new value

– Mentor and train colleagues junior team members

What We Are Looking For :

Required Qualifications :

– Bachelor’s degree in engineering, computer science, or related field.

– 5-10 years of total work experience, with at least 4 years of experience in APIs and Event-Driven Architectures

– Strong hands-on Python programming skills

– Experience with Microsoft Azure or AWS and data management tools such as Azure Data factory, Data Lake, Synapse, Databricks and Snowflake

– Understanding of cloud architecture principles and best practices

– Experience in the design and build of end-to-end solutions that meet business requirements and adhere to scalability, reliability, and security standards

– Familiarity with version control systems like Bitbucket, Jenkins and DevOps practices for CI/CD pipelines

Desired Qualifications :

– Subject matter expert for APIs and Event-Driven Integrations with experience in Azure architecture design is preferred

– Good understanding of migration and modernization strategies and approaches is preferred

– Experience in the architecture and design of services using Azure architecture is a plus

– Experience with IoT integrations is a plus

– Experience with Kong API gateway, Kafka, and/or Python FastAPI is preferred

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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