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. The estimated salary range for this position is from 170,000 to 240,000 USD per year.
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
