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.
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.
- Drive direct communication with business stakeholders.
- Elaborate on all technical aspects for the development team and justify architectural decisions.
- Lead solution implementation from requirements gathering and goal definition through to production go live.
- Guide clients through complex data transformation initiatives and ensure successful outcomes.
- Participate in the full sales and pre sales lifecycle.
- Lead solution architecture evaluation and assessment activities.
- 7 to 10+ years of experience in a data architecture, technology, consulting, or engineering leadership role, or experience delivering 7 to 10+ projects, programs, or initiatives.
- Hands on experience driving data and analytics projects, programs, or engagements, including interacting with customers, managing expectations, and presenting solutions and project deliverables to senior stakeholders.
- Strong experience in the financial services industry, with particular expertise in Insurance or Investment Management (for example, asset managers, asset servicers, and investment platforms).
- Strong foundations in Data Management, Data Architecture, Data Governance, Data Engineering, Data Analytics, and DataOps, including modern data architectures, modern data stacks, and industry best practices.
- Experience with key cloud data platforms such as AWS, GCP, Azure, Snowflake, and Databricks, as well as open source and vendor based data and analytics tools and technologies.
- Experience designing and building data platforms and data products, with the ability to lead data programs and engineering or delivery teams.
- Strong knowledge of data management, architecture, and engineering fundamentals, including data modeling, data quality, metadata management, data warehouses, data lakes, lakehouses, data mesh and data fabric patterns, distributed systems, data pipeline development, and ETL/ELT design, implementation, and maintenance.
- Comfortable operating at a strategic level while remaining close enough to the technical details to add value to clients and team members.
- Proficient English and strong communication skills.
- Sales and pre sales experience.
- Flexibility to travel for 3 to 7 business trips per year, each lasting 1 to 2 weeks.
- Experience in consulting or professional services organizations, with an understanding of sales engineering, consulting, and pre sales engineering roles.
- Experience in consultative sales and/or sales engineering within Data and Analytics.
- Knowledge of finance industry trends and the ability to develop and articulate value propositions for Data and Analytics solutions.