Deloitte

Senior Consultant, Data & Analytics Platforms Solution Architect (Azure), Data & Analytics Modernisation, Consulting (BB-0ADF6)

Found in: Talent UK

Description:
Position summary Your OpportunityTake your career to the next level by joining one of the world’s best and most recognized professional services firms. Within Deloitte’s Analytics and Cognitive service offering, we imagine, deliver and run innovative solutions to help our clients solve complex challenges and maximize the value of their data. At Deloitte, you will be able to build your career, access the best training and learning opportunities, and develop new skills and hone existing ones. We work for a huge variety of interesting, international, and world-leading clients on exciting next generation technology-enabled projects. We are looking for candidates with Data, Engineering and Microsoft Azure expertise to join us, working in fast-paced teams with other highly talented, fun and motivated colleagues.We encourage consideration of flexible ways of working, both formal and informal arrangements that allow for the best outcomes for our people and our clients. If this opportunity is of interest to you with some flexibility, please do discuss with us. Strategy, Analytics and M&A How do you make intelligent, future-proof decisions in a world where change is the one constant? That’s exactly what you’ll help our clients to do. You’ll build trusted relationships with business stakeholders – and use the most exciting new technologies available – to create data-driven programmes that transform their organisations. Your advice will help clients position their organisations to succeed in an ever-evolving marketplace. Your RoleAs a practitioner in Data & Analytics Modernisation, you are responsible for delivering Data on Azure Cloud projects. You are encouraged to devise innovative solutions to help our clients address their biggest data challenges including developing modern analytics platforms. Typical projects could include, developing an azure streaming data ingestion pipeline, developing Scala application, engineering and optimising machine learning models, designing physical data models on object, NoSQL and RDBMS stores, or re-engineering / re-platforming an existing solution. In your role, you will have responsibility for deliverables and client stakeholder relationships and will be delivering solutions for our clients using agile methodologies. You will often be working in multi-disciplinary teams across a range of industries, subject matters and locations. Our projects vary greatly and your responsibility as a Senior Consultant will differ based on the focus of the client engagement and your skillset, but could include and may require you to:• Work directly with client stakeholders to assess the as-is solution and suggest an efficient to-be solution based on Azure IaaS and PaaS components• Work effectively in diverse teams within an inclusive team culture where people are recognized for their contribution• Build product roadmaps for our clients, planning the delivery of features and user stories using DevOps methodology• Lead diverse teams of developers, potentially onshore and offshore within an inclusive team culture where people are recognised for their contribution• Investigate and understand trends in open source data technology development, such as Apache projects and the work of leading tech companies such as Facebook and Netflix• Assist in the development of our market leading analytics and cognitive offerings, help produce proposal documents to showcase our capabilities, and contribute to the development of our thriving Data & Analytics Modernisation community• Contribute to client project delivery by owning one or more workstream(s) and ensuring commercially successful conclusion of the client engagements You may be involved in:• Designing, architecting and implementing an end–to-end next-gen Azure Data Solution for our clients for their data and analytics needs• Contributing to the solution architecture of an operational information delivery or analytics solution• Designing an enterprise data lake to cater to a client’s data storage needs for structured and unstructured data, to enable analytics across global clients• Developing a real-time data solution using streaming ingestion and deliver real time analytics, to help our clients respond to customer behaviour as it happens• Developing a cloud based Information Delivery platform which allows our clients’ apps to talk to each other, enabling real-time insight from the movement of data between their technology components• Assisting our clients to modernize their data warehouse to achieve scalable analytics• Cleansing and transformation of data using Azure Databricks analytics platform Your work, your choiceAt Deloitte we believe the best impact is the value we add, not the hours we sit at our desk. We carefully consider agile ways of working, both formal and informal, that allow for the best impact for our people and our clients. Please speak to your recruiter about the working pattern that works best for you. Location:Your home office will be London, but this client-facing role provides lots of opportunity for travel in the UK and overseas. Work pattern:This is a permanent contract opportunity. Our team members work a variety of agile working patterns. Tell us what arrangement works for you and we’ll try to accommodate.Your professional experience• Must have Python, Scala, C++ or Java development experience deploying workload to production• Must have either one of the following:• Azure Developer Associate, or• Azure Data Engineer Associate, or• Azure Solution Architect Expert, or• Similar certification• Ability to demonstrate stakeholder management skills and collaborate effectively with multidisciplinary teams.• Ability to bring teams together as a workstream lead to drive success through applying coaching, facilitation, stakeholder management and expectation management capabilities Candidates must have experience in Azure Data Platforms involving some or all of the following areas:• Provide subject matter expertise and hands on delivery of data capture, curation, and consumption pipelines on Azure using native and Hadoop based services.• Ability to conduct a full technical assessment of existing platform as-is architecture and identify the to-be landscape• Ability to build Azure data solution and provide perspective on storage options and compute engine options; e.g. SSIS Vs Spark, SQL Server Vs Blob Store, etc.• Architecting data lake and data warehouse solutions on Azure using ADLS, SQL Server, SQL DWH, Azure Analytics Service, Event Hubs, KeyVault and other Azure services.• Designing logical and physical data models for NoSQL data stores such as CosmosDB, MongoDB, Cassandra, etc.• Designing highly performant, scalable and re-usable data ingestion and transformation pipelines across Azure components and services such as Azure HDInsight, Databricks, and Azure Data Factory.• Designing Event based and streaming data ingestion and processing using Azure PaaS services, or Apache Kafka.• Data ingestion, data engineering and/or data curation using native Azure services or tools available in Azure Marketplace.• Designing data governance, data cataloguing and data lineage solutions using tools such as Azure Data Catalog, Informatica Data Catalog, Talend Data Catalog, IBM Information Governance Catalog.• Designing RESTful and GraphQL APIs for inter-service and external data exchange.• Have worked with platforms from key cloud vendors such as Databricks, Snowflake, or similar.• Have worked in agile delivery teams with DevOps ways of working to continuously deliver iterative deployments with experience in using Git, Jira, Confluence, or similar.• Have had experience in data migration activities in the past including migration strategy and approach, source and target system discovery, analysis, mapping, development and reconciliation.

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