The senior Data Architect will create and support Business Intelligence solutions, working with business stakeholders and directing project teams and will have direct experience of a wide range of Business Intelligence platforms, in particular with the Microsoft Azure environment.
Activities:
– Designing and delivering Azure Data solutions. Including Analytics, Data Integration Hubs, IOT solutions, RPA, Data Science & Machine Learning
– Requirements Analysis and Solution Architecture Design. Data modelling and data architecture design. Documentation of solutions (e.g. data models, configurations, and setup).
– ETL, data integration and data migration design.
– Master data management system and process design and implementation. Data quality system and process design.
– Working within a project management/agile delivery methodology in a leading role as part of a wider team.
Skills:
– Solution and architecture development during pre-sales & delivery.
– Hands on experience Architecting and delivering solutions using the Azure Data Analytics platform including Azure Databricks, Azure Cosmos DB, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Search
– Experience designing and implementing machine learning solutions as part of high-volume data ingestion and transformation pipelines
– Knowledge and experience of working with image data in a machine learning environment
– Experience working with structured and unstructured data, including geospatial data
– Recent experience with Open Source technologies such as Apache Spark, Hadoop, NoSQL, Kafka, Solr/Elastic Search
– Experience working in a Dev/Ops environment with tools such as Chef, Puppet or Terraform
– Large scale design, implementation and operations of OLTP, OLAP, DW and NoSQL data storage technologies such as SQL Server, Azure SQL, Azure SQL DW, PostgreSQL,
CosmosDB, RedisCache, Azure Data Lake Store, Hadoop, Hive, MongoDB, MySQL, Neo4j, Cassandra, HBase
– Creation of descriptive, predictive and prescriptive analytics solutions using Azure Stream Analytics, Azure Analysis Services, Data Lake Analytics, HDInsight, HDP, Spark, Databricks, MapReduce, Pig, Hive, Tez, SSAS, Watson Analytics, SPSS
– Design and configuration of data movement, streaming and transformation (ETL) technologies such as Azure Data Factory, HDF, Nifi, Kafka, Storm, Sqoop, SSIS, LogicApps, Signiant, Aspera, MoveIT, Alteryx, Pentaho, IDQ,
– Enablement of data reuse through Data Catalog/Marketplace, Metadata, Search and Governance technologies such as including Azure Data Catalog, Waterline, Apache Atlas, Apache Solr, Azure Search, Alteryx Connect, Datawatch Monarch Swarm, Collibra Catalog, Enigma Councourse, Adaptive, Cambridge Semantics, Data Advantage Group (DAG), Global IDs, Alation
– Application of Information Architecture in large enterprise through use of industry standard modeling, mapping, management, metadata, lineage and quality standards and technologies including IDEF1X, DDL, DML, UML, ER/Studio, ERWin, MDM, IDQ,
– Multi-system data Integration using industry standards such as SOA, EAI, BPI and API using API Gateway, iPaaS and ESB technologies such as Apache Knox, Boomi, Mulesoft, Tibco, Axway, Informatica, Workato, Jitterbit, SnapLogic, Apigee.
– Visualization using technologies such as PowerBI, Tableau, Spotfire, D3, Spotfire, Qlik
– IoT technologies such as IoT Hub, IoT Edge, Event Grid
Experience/Qualifications:
– Microsoft Azure Big Data Architecture certification
– Must be able to communicate fluently in English, both written and verbal
– Previous experience in a platform/product architecture/development role
– Excellent interpersonal communication and organizational skills to contribute as a leading member of global, distributed teams focused on delivering quality services and solutions
– Able to distil complex technical challenges to actionable and explainable decisions
– Inspire DevSecOps teams by building consensus and mediating compromises when necessary
– Demonstrate excellent technical & architecture skills in the context of cloud based global platform/product design, service management and product lifecycle management
– Operational abilities including early life support and driving root cause analysis and remediation
– Proactively evolve and apply DevSecOps methodologies, standards and leading practices
– Ensure re-use through consumption and expansion of shared platform technology assets
– Apply architectural standards/principles, global product-specific guidelines, security standards, usability design standards, as appropriate.
– Ensure quality through use of manual and automated controls
