Definition, implementation, and execution of the processes for the definition, maintenance, and conformance management of the Enterprise Architecture.
Update and maintenance of the key Enterprise Architecture deliverables.
Establishment and maintenance of contacts within business units and information system programs to understand business activities and business drivers, business requirements, solutions strategies and alternatives, etc., being considered and/or implemented.
Architectural leadership in the resolutions of inter-program and inter-project issues.
Ongoing publicity and communication of the Enterprise Architecture both within the information community, and the business units.
Ongoing research and assessment of new analysis approaches for potential use within the Enterprise
Be the expert to construct total solutioning proposal includes USP (Unique Selling Point) of offering and pricing, high level scope of both functional and technical requirements, data and security blueprint, resources planning and timeline during pre-sales stage
Design and deliver complex cross-domain solutions encompassing a rich variety of technologies and using a mixture of agile and planned methods to provide innovative solutions to address clients’ needs
Work with internal MIS teams, business technical teams, executives, and partners to manage and deliver successful solutions during the implementation stage
Participate in or to drive deep architectural discussions to build trust and rapport with all stakeholders during implementation stage
Be a trusted technical advisor to clients and project members to solve complex technical challenges, and establish credibility & build deep relationships with senior technical individuals within client organizations
Provide enterprise scale solutions
Developing the overall Solution Architecture
Coordinating all Enterprise Architecture activities locally and globally
Developing and coordinating Architecture Plans
Assisting in aligning business and enterprise initiatives with the Enterprise Architecture
Auditing compliance within the Enterprise Architecture standards
Serving as advisor to senior business management on business and information integration strategies
Strong Azure Experience (Minimum Five years’ experience)
Lambda Functions – Python Preferred.
AWS Glue and Scala
Step Functions / State Machines and Control Flow
ECS/ECR AWS Containerization
Automation – AWS Data Pipeline experience required
Strong ETL Experience
SSIS, Kettle and Talend
Proficient in developing solutions targeting Azure
Four Years of Graph Data Base Experience (Neo4j experience required)
Graph Modeling Experience Required
SQL Server Development experience
Strong Modeling Experience required
Strong experience in SSIS with emphasis on complex transformations and working with Large Data Sets
Strong Automated testing experience
Linux and container experience
Scrum and DevOps Experience
Experience with Data Lakes in Azure
Experience working with PowerBI
Proficient with Git, TFS/Azure DevOps
Experience in rapid solution prototyping
Experience in ML/AI/BI and data analytics strongly desired
Bachelor’s Degree in Computer Science or related field
10+ years working with Enterprise Data Warehouse technologies including Multi-Dimensional Data Modeling, Data Architectures or other work related to the construction of enterprise data assets
3+ years of demonstrable implementation experience of scalable cloud data platform technologies (Snowflake, Amazon Web Services preferred)
3+ years of experience with MySQL, Hadoop, Hive, Dynamo DB, MongoDB, Redis, Kafka, Spark or similar technologies
3+ years’ experience within data lake design and implementation.
Experience architecting streaming / event driven data platforms, triangulating data lineage (Alation preferred) / data quality issues and familiarity with existing data operating models
Experienced in sourcing, transforming and processing structured, semi-structured and unstructured data.
Demonstrated capability to influence technology strategy and best practices across peer and leadership groups that support an agilerapid development culture.
Strong programming background with languages like SQL, Python, Java/Scala/Ruby, and R.
Proven track record driving rapid prototyping and designs
Knowledge and experience with industry best practices for PCI and GDPR
Machine learning / deep learning experience is a plus
Work experience in the air travel industry a plus.