We’re looking for a Development Manager Senior to join our ever evolving Cloud Data Platform team to help us unleash the potential of every business.

Leadership

• Lead and mentor a team of platform engineers with expertise in Snowflake, AWS, Kafka, Databricks, Tableau, Web Focus, Airflow, Real time and batch ingestion processes
• Foster a colloborative and high-performance culture within the team
• Conduct performace reviews, provide feedback and support career development of team members

Platform and Technology

• Lead the development of standard Platforms that would provide various data technology capabilities (Integrations, Data Persistence, Data Computation, Orchestration, Analytics, AIML, Governance)
• Develop cost effective scalable and future proofing infrastructure solutions based on the requirements for product services that covers both functional and non-functional requirements.
• Manages the operating model for the platform teams to onboard, build and support the roll out of products.
• Ensure the design and architecture of the data platform meet the industry best practices and standards

Enablement

• Engages various technology and product stakeholders and work through from business objectives to a solution design based on their unique product requirements.
• Designs architectures, functional solutions and implementation ready approaches for various products and key initiatives to accelerate the build of Solutions.
• Creates architecture specifications and other design artifacts representing the approach and effect of new proposed solutions
• Facilitate technical and business sessions required to align solution architecture with business and technology objectives throughout the development life cycle
• Provides implementation guidance to a variety of products and key Data initiatives throughout the product development life cycle.
• Work with the several Project teams to help align, implement, and accelerate the development. Manage POCs, design updates, product changes, project escalations.

Expertise

• Subject matter expert in Data Architecture, Data Integration, Data Persistence & Data Analytics platforms and well-architected patterns.
• Defines appropriate architecture principles and standards, patterns, blueprints, best practices and frameworks in the Data Architecture to support product development across the organization.
• Supports the design patterns for building Integrations – ETL/Streaming/Near Realtime
• Supports the design patterns for building Data Models, Meta data layers leveraging Snowflake data warehouse platform.
• Supports the build of data technology capabilities and the migration of analytics artifacts from legacy solutions to modern platforms

What You Bring

• Bachelor’s in computer science or engineering, or the equivalent experience – post-graduate education desired.
• Ten+ years of Big-Data experience including building data platforms in cloud. Preferably using AWS, Snowflake, Kafka, Databricks, Airflow and equivalent services.
• Leadership skills with experience in driving large projects and implementing applications in a shared services environment.
• Experience with large-scale Transformation Programs and Fortune 500 companies
• Experience with cloud transformations and cloud migrations Proficiency in solutions design and requirements definition disciplines leveraging model driven design-based tools and techniques.
• Experience with data modelling, building data schemas (normalized, flat, star, snowflake, etc)
• Expertise with end-to-end systems development life cycles and a background leading large projects.
• Experience designing and implementing applications in a shared service environment.