Senior Data Architect


• Master or Bachelor’s degree in computer science, information systems management or related field,
• Enterprise Architecture certifications such as TOGAF or other,
• More than 8 years of experience in information technology where mostly spent in work related to Data ingestion, processing, analytics and governance solutions definition/implementation,
• More than 6 years of experience working with Data related solutions,
• More than 4 years of experience working in analytics and data warehouse solutions,
• Experienced in different integration patterns, tools, technology & trends,
• Experienced in Microservices and SOA principals, guidelines and supporting technology,
• Experiences in cloud native principals, designs and deployments,
• Experienced in 12-factor app principals,
• Hands on experience of one or more key technology areas (e.g. Hadoop, Hortonworks, Kafka, DaaS, Streaming, Modelling )
• Experience in applying proven architecture design methodologies and tools,
• Wide experience in developing customer-centric solutions,
• Wide experience in developing critical, high resilient and secured solutions,
• Experienced in working with different open sourced data ingestion, processing & governance technology,
• Comprehensive knowledge and outstanding technical skills in data architecture analytics, streaming, data batch processing, data governance and integration tools,
• Outstanding knowledge of different data stores (relational/semi and non-relational) solution designs & deployments,
• Exposure to multiple diverse & complex data streaming, transformation and batching architecture,
• Demonstrate exceptional technical skills across applications, information processing and integration domains,
• Ability to challenge the conventional wisdom regarding technology trends,
• Ability to understand the long term and short term perspectives of a solution,
• Ability to assess and analyze the wide enterprise impact of a solution,
• Ability to comprehend and articulate solutions based on events driven computing.
• Knowledge of systems, components and architectural principles and practices followed in distributed computing architecture,
• Knowledge of key integration patterns and tools such as event based, messaging, ETL, ESB & microservices based integration,
• Knowledge of best practice API development, deployment, governance and management practices,
• Strong understanding of technology trends and their application in Financial Services,
• Comfortable with ambiguity and promote innovative,
• Experienced with CQRS, advanced logging processing and analysis solutions,
• Experience with Data governance, lineage & quality,
• Experience with Big Data solutions and environments,
• Experience with Data analytics, data modeling, master data management and Business intelligence.


The Senior Data Architect plays a significant role in the data management and solution definition, implementation and governance of the data architecture as per the best practices, architecture standard guidelines and reference architecture. The senior data architect may be deployed permanently or temporarily as part of agile squads to facilitate agile delivery as well as may be deployed permanently or temporarily as part of data platform teams operate in waterfall delivery mode. Both deployment models will demand from the Senior data architect to work closely with the software engineers, testers, other architects, platform owners and/ or squad members in order to define and execute resilient, reusable, secured, scalable and highly performing data solution architecture that meets platform owners’ expectations in line with the architecture governance framework, technology roadmap and best practices. The successful candidate will perform work that involve close interactions and technical guidance in multiple functional areas such as software development, testing, infrastructure & DevOps engineers, different squads and architects in the organization in addition to external parties such as consultants or solution/ technology vendors. This individual will also seek to ensure the optimum utilization of existing technology & platforms, promote open standards, data quality, cost effectiveness and resilience as per the enterprise architecture guiding principles.

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