Solution Architect

Role Expectations

• Play 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

• Must Have Skills: Java micro services, Python

Requirements :

• Good understanding of various telco data domains like consumer, finance, network, products etc. a plus

• Knowledge of data architecture and design patterns

• Strong experience in Data Architecture Governance and Data DevOps practices

• Hands on experience in performing data architectural assessments, crafting data architectural options and analysis, finalizing a preferred solution working closely with technology and business partners.

• 7-10 years' Experience working in solutions design, hands on building data platforms in cloud ecosystems, on-prem, hybrid cloud. To Include near real time data collection, data lake scaling/optimization, warehousing, event processing, data cataloging, and data observability in alignment with strategic technology roadmap and emerging industry trends

• 7-10 years Progressive experience in software engineering/enterprise architecture/technology leadership across multiple products, systems and/or platforms coupled with strong business acumen and executive presence.