Senior Data Architect with Experience in Finance
About the Position
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. Industry experience is preferably in Finance, such as asset management, insurance, or capital markets.
About the Project
A principal role that is responsible for the solution architectures focused on the Data context. Specific attention is paid to the following areas: DG and DM, data structures, modeling aspects, data security practices, architectural practices, integration patterns, non-functional requirements in the data context.
About the Team
DataArt's Data & Analytics team designs and implements modern data and analytics solutions for mid- and large-sized organizations.
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
- 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 in finance
- 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
- Sales/pre-sales experience
Nice to Have
- 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
