Data Engineering Architect

• Executes the architectural vision for all IT systems through major, complex IT architecture projects
• Develops technology road maps while keeping up-to-date with emerging technologies
• Provides technical leadership and develops components of, or the overall systems design
• Translates complex business problems into sound technical solutions
• Applies hardware engineering and software design theories and principles
• Provides integrated systems planning and recommends innovative technologies
• Recommends appropriate desktop, computer platform, and communication links
• Acts as an advisor or mentor to junior team members
• Appropriately assess risk when business decisions are made

• 5+ years of experience designing Data Lake using BigData ecosystem (Hadoop, Hive, Kafka, Spark, Scala etc.)
• 5+ years of experience in designing high volume, high TPS, resilient data pipelines
• Experience working in a Continuous Integration and Continuous Delivery environment
• Familiarity with tools like Jenkins, TeamCity, SonarQube, OpenShift, ECS, or Kubernetes
• Proficient in industry-standard best practices such as Design Patterns, Coding Standards, Coding modularity, and Prototyping
• Experience with data visualization tools and techniques
• Familiarity with agile development methodologies
• 6-10 years of relevant experience
• Familiar with enterprise/solution architecture
• Knowledge of cloud technologies
• Consistently demonstrates clear and concise written and verbal communication
• Management and prioritization skills
• Ability to develop working relationships
• Ability to manage multiple activities and changing priorities
• Ability to work under pressure and to meet tight deadlines
• Self-starter with ability to take the initiative and master new tasks quickly
• Methodical, attention to detail
• Bachelor's/University degree or equivalent experience, potentially Master's degree

Function experience with Banking industry is preferred