Data Architect/Engineer (Morgan Stanley)

Data Architect /EngineerHe made an emphasis on candidates to have Data Fabric or Data Mesh background. While he understands this is a niche, the team is willing to spend money on the right candidate. Please make sure to vet the candidate based on that information and get a detailed background about just that experience.Seeking a Data Architect /Engineer to join the Application and Data Engineering department. The candidate will be responsible for helping to drive, analyze, design, architect, and execute on a strategy to modernize the data platform across Non-Financial Risk. This includes understanding the current data plane and business use cases that drive data decisions. This all drives to the goal of efficient ways to enable enhanced data discovery, governance, metadata management, and integration that enables data to be sourced from hybrid on prem and cloud environments delivered over multiple possible mechanisms in an efficient method to the consumer under a Data Fabric/Mesh architecture.KEY RESPONSIBILITIES:Understand current data platform within NFRTWork with development teams and business partners to understand data use cases.Design and architect and execute on Data Fabric / Data Mesh solutionEvaluate tools, (external or internal) and aid in the development of tools to enable and support the Data platformDesign and aid in development of a data discovery, observability, governance platform.SKILLS / QUALIFICATIONS:Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field.10+ years of work experience in Information Technology and 5+ years working as Data Architect or Data Engineer.Experience with designing and implementing modern data platforms (i.e. Data Fabric, Data Mesh, Data Hubs, Data driven environments)Experience in highly complex data environments with large data volumes including cloud / Hybrid implementationsExperience with the design of data catalogs / dictionaries driven by active metadataStrong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groupsSelf-starter. Strong problem-solving skills. Ability to identify where focus is needed and bring clarity to business objectives, requirements, and prioritiesExperience with Semantic DBs and Knowledge graphsExperience with the establishment of Data Fabrics and Data MeshesExperience with CollibraExperience with one or more Cloudera, Apache Hive, Azure data lake, SnowflakeExperience with one or more of Data bricks, Spark, Airflow, Kafka, Talend, informaticaKnowledge of one or more Postgres, DB2, MSSQL, mongoDBExperience with Analytics and BI – Tableau, Power BIExperience with Data science and AIML – Jupyter Notebook, Data iku