Data Fabric Solution Architect Senior Manager at Ernst & Young Global Limited (EY)

Your key responsibilities

Your primary focus will be translating business requirements to technical solutions leveraging strong business acumen. You will apply technical knowledge to architect solutions that meet business and IT needs, create Data Platform, roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and technologies where appropriate (e.g. Azure ML, ML Server, BOT framework, Cognitive Services, Big Data, Data Lake, Azure Databricks, etc.) Collaborating with other Cloud Solution Architects in developing complex end-to-end Enterprise solutions on Microsoft Azure platform as well as design and build Modern Data Pipelines and Data Streams and build Data Service APIs.

Skills and attributes for success

The Senior Manager focuses on architecting solutions and managing client engagement teams, working with a wide variety of clients to deliver tech consulting services, and managing business development activities on strategic and global priority accounts. You will apply methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration. Strong team collaboration and experience working with remote teams.

To qualify for the role, you must have

• At least 10+ years of professional consulting experience in big data, and data engineering
• Deep understanding of ETL, ELT, data ingestion/cleansing and engineering skills
• Breadth of technical experience and knowledge, with depth / Subject Matter Expertise in two or more of the following Data Platform Cloud solutions required:
• SQL including OSS (postgres, MySQL etc), Azure SQL
• NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DB
• Big Data including SQL DW, Snowflake, Big Query, Redshift
• Advanced Analytics including Azure Data Bricks, visualization tools as PowerBI, Tableau
• Data Governance, Data Catalog, Master Data Management
• Big Data implementation - using Open Source and Non-SQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Cosmos DB, Snowflake and Python.
• Knowledge of Lambda and Kappa architecture patterns.
• Knowledge of Master Data Management (MDM) and Data Quality tools and processes.
• Ability to help customers engineer Azure Data Solutions based on current on-premise data centers.

Ideally, you’ll also have

• Bachelor’s Degree or above in mathematics, information systems, statistics, computer science, or related disciplines
• Experience with machine learning and data science, including utilization of tools and capabilities like Azure Databricks, Azure ML and Cognitive Services, as well as programming languages like R and use of R Studio
• MS Certification: Azure Data Engineer Associate