DataArt

Data architect in finance

In short

This role designs solution architectures focused on data for an R&D/Center of Competence team, working directly with business stakeholders and clients on data transformation initiatives and participating in sales/pre-sales cycles. It requires 5+ years in data architecture/engineering, strong SQL, experience with cloud platforms (Azure, AWS, GCP), DWH/data platforms (Snowflake, Databricks), data governance and ETL pipeline design. Finance industry experience (asset management, insurance, capital markets) and sales/pre-sales experience are a plus. The position is office-based in London at lead level.

Description
Operating remotely and in person in numerous R&D centers, Center of Competence drives innovations in data & big data that ensure rapid expansion of our domain and technical expertise and greater customer satisfaction. Our progressive and flexible working principles pave the way to a rewarding work environment and open vast career opportunities. A principal role that is responsible for the solution architectures focused on the Data context.
Responsibilities
•Drive direct communications with business stakeholders
•Elaborate on all technical aspects for the development team, justify any architectural decision
•Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
•Guide clients through complex data transformation initiatives and ensure successful outcomes
•Participate in the entire cycle of sales/pre-sales activities
•Lead solution architecture evaluation and assessment activities
Requirements
•DG and DM, data structures, modeling aspects, data security practices, architectural practices, integration patterns, non-functional requirements in the data context
•5+ years of work experience in a data architect/engineering role or 5-10 completed projects
•Data Governance, Data Management background
•Experience working with Clouds (Azure, AWS, GCP)
•DWH/Data Platforms experience (Snowflake, Databricks)
•Knowledge of SQL and comfortable designing, writing and maintaining complex SQL queries
•Experience building data pipelines; ETL design, implementation, and maintenance
•Knowledge of data management fundamentals (data modeling, data quality, metadata management, data warehouse/lakes patterns, distributed systems)
•Excellent communication skills
•Foundational knowledge on what sales engineering/consulting/pre-sales engineering roles are
•How D&A Competence sells and what is important in different types of sales
•Main types of value proposition in D&A sales
Nice to have
•Industry experience preferably in Finance, such as asset management, insurance, or capital markets
•Experience in finance
•Sales/pre-sales experience
Conditions
No conditions specified in the posting.

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