Solution Architect
Apply NowCompany: Omni Inclusive
Location: Irving, TX 75061
Description:
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.
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.