Solution Architect

Data ArchitectPlay a key role in delivering data-driven interactive experiences to our clients. Implement the data architecture strategy with the technology and platform teams. Lead discovery, conceptualization and selecting the architecture opportunities. Provide expertise as a technical resource to solve complex business issues that translate into data integration, processing, analytics and storage designs. Design and implement scalable and streamlined data pipelines to address key business use cases and to meet data SLA requirements. Ensuring all deliverables are high quality by setting development standards, adhering to the standards and participating in code reviews. Participate in integrated validation and analysis sessions of components and subsystems on production servers. Mentor, support and manage team members. Leverage industry best insights and emerging architecture patterns gained via network of telco and domain peers.Skills and Experience: Expertise in data modeling, implementing streaming analytics data pipeline, implementing stored procedures and standard DWH and ETL concepts. Proven track record of successfully building data driven solutions using integration, big-data processing and database and storage technologies. Experience establishing data quality processes, performing data analysis, participating in technology implementation planning, implementing data integration processes. Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, Flink etc. Experience in Data Migration, developing DBT models to transform data into useful, actionable information. Expertise in designing ETL frameworks with several years of hands on experience in implementing several aspects of data pipelines including ingestion, transformation, data quality checks, monitoring, alerts, notifications etc. Experience with enterprise cloud economics. Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications). Hands-on expertise with SQL and SQL analytics, Cassandra. Industry benchmarking experience in major industries such as: Telco.