Lead AI and Data Solutions Engineer II-Data Architect

Job description

**Artificial Intelligence & Engineering** AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations. Join our AI & Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses. **Level: Lead** **AI and Data Solutions Engineer II** As a Lead AI and Data Solutions Engineer II at Deloitte Consulting, you will oversee the technical delivery of enterprise-scale software solutions, lead cross-functional and global teams and mentor junior members. You will collaborate to understand functional requirements, support sales and proposal efforts, and drive end-to-end project delivery, including estimation and planning, to ensure successful outcomes. **Work you’ll do:** Collaborate with the functional team and client to thoroughly understand business requirements. Oversee technical delivery by providing architectural and implementation recommendations. Lead documentation efforts, ensuring adherence to standards and best practices. Direct the design and development of solutions, ensuring timely delivery according to project plans. Work closely with project leadership to identify and escalate potential risks and prepare status reports. Mentor junior team members and facilitate communication between various teams within the engagement. Respond to proposals by providing accurate estimations and technical input, supporting the overall success and alignment of project objectives with client needs. **The team:** AI & Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. AI & Data professionals will work with our clients to: - Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing - Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions - Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements. **Location**: Bengaluru/Hyderabad/Pune/Chennai **Qualifications** **Required:** - 10+ years of relevant consulting, industry or technology experience - Proficiency in cloud architecture design in any of the given areas – AWS/Azure/GCP Architecture. **AWS Architect** - Experience in provisioning and spinning up AWS EC2 instances - on-Demand, Spot, dedicated instances, and cost calculation. - Experience with server less architecture (Lambda), API gateway and RESTful services/JSON etc. - Experience with one or more relational databases on AWS RDS – Oracle/ SQL Server/ MySQL and/or cloud data warehouse databases such as AWS Redshift - Exposure to Data migration facilities such as DMS, S3 COPY, streaming, Kinesis, Batch • Experience in developing applications on AWS Cloud infrastructure. - Exposure to DevOps tools, deployment and orchestration technologies such as AWS CodeBuild, CodeDeploy, AWS CodePipeline etc. - Experience with monitoring resources and applications using CloudWatch metrics, alarms and logs and tracking user activity, API usage using CloudTrail - Experience with cloud assessment and migration on-premise workloads onto AWS. - Expertise in AWS Architecture, Automation Tools and understanding of the agile development process. - Experience in Migration from on-prem to Cloud using AWS migration tools - Experience with VPN connectivity between regions and subnets - Experience with Business Continuity and Disaster Recover design, planning and implementation for cloud infrastructures - Exposure to one or more - Python, Perl, Ruby or UNIX shell scripting. - Experience working with AWS Command line utility (CLI) and SDKs. - Exposure to EMR, Elasticsearch, Kinesis, DynamoDB, Athena, WAF, CloudHMS, Direct Connect, Glue, Load balancer - Expertise in SPARK programming using Scala or Pyspark or Java - Experience with cloud security architectures – Encryption (Rest & Motion) **Azure Architect** - Hands-on experience with Microsoft Azure and a strong understanding of Azure capabilities and limitations with demonstrated experience in end-to-end deployment of MS Azure BI solution(s) - Experience in migrating physical or virtualized workloads to the cloud. - Experience in defining highly available, DR solutions in Azure - Experience in assessing applications for cloud adoption and define Cloud strategy for enterprise - Experience in using agile methodologies in implementing Azure solutions. - Hands-on experience with Tools for system management, monitoring, automation, and agile development - Design and develop robust, scalable solutions for collecting, analyzing large data sets, creating, and maintaining data pipelines, data structures and/or support of highly distributed applications - Exposure to Microsoft Azure data platform, including Azure Data Factory (ADF),Azure Databricks, Azure Data Flow, Azure Cosmos DB, Azure Storage, Azure Synapse Analytics / erstwhile Azure Data Warehouse (SQLDW), Event Hubs, Stream Analytics, Data Lake Store, Data Lake Analytics, U-SQL, HDInsight, Azure Analysis Services, Azure Purview, Power Apps, Power