TQUKE0774_4853 - Solution Architect - Technical

Driving the architectural description for MQ distritbuted to Kafka. Architectural work might also include project related to Sterling (file transfer), Kafka cloud / multiregion as well as various API platforms. There Mainframe integration patterns (Message Broker, MQ to Kafka).

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Skills

Middleware (Mq, Message Broker, Sterling, Batch)      / VITAL

Queue technologies (MQ)                                                / VITAL

Mainframe                                                                             / IMPORTANT

Sterling                                                                                  / IMPORTANT

1 Business Analyst – To work with data product access control, data marketplace and data product lifecycle processes. Experience from best practice data warehouse delivery and data governance is a must, preferably in a bank context. Experience from data catalogues/data marketplace, metadata mgmt. is meriting.

Data product enablement

1 Business Analyst – Key service requirements gathering. Experience from requirements gathering related to data warehousing, master data mgmt., agile ways of working in a bank context.

2 Data Engineer

DW development, SQL and Python.

Experience in working with MDM as concept. Primarily the concepts of building golden records with the concepts of Data Vault modelling.

Experience with MDM solutions.

Lending team

1 Solution arch/senior Data Engineer

1 Data Engineer

Experience from DW development, SQL, Python, ETL, AbInitio, Databricks and/or Snowflake, DBT, Informatica IDMC. Understandable that they might not check each of these boxes but as many as possible.

TCM team

1 APO/senior BA – Experience from project/product mgmt. in a data delivery context, Markets (bank) data, regulatory reporting, SAFe PO/PM ways of working, service ownership, planning and coordination

2 Data Engineer - Experience from AbInitio ETL, DW development, SQL, Python, ETL, Databricks and/or Snowflake, DBT, Informatica IDMC. Understandable that they might not check each of these boxes but as many as possible

1 Information modeller

Experience of working with bank data and conceptual and logical data modelling in a bank

Experience of data warehousing and understanding of FSLDM as well as other bank modelling frameworks/enterprise models such as BIAN and BIRD

Deep understanding and belief in modular data architecture, domain-based data models and data as a product concepts

Experience of working in Erwin modelling tool