Solution Architect

Data 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