Senior Data Architect with Experience in Finance
- Belgrade
- Cluj-Napoca
- Krakow
- Larnaca
- Lodz
- Lublin
- Monterrey
- Montevideo
- Remote.Argentina
- Remote.Brazil
- Remote.Bulgaria
- Remote.Colombia
- Remote.Poland
- Riga
- Rosario
- Sofia
- Varna
- Warsaw
- Wroclaw
If you received this vacancy from our recruiters — read our Privacy Notice.
Project overview
Position overview
This position requires the ability and willingness to travel for business purposes up to 3 to 7 times per year, with trips typically lasting 1 to 2 weeks.
Responsibilities
- 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.
Requirements
- 7-10+ years of work experience in a data architecture, technology, consulting and engineering leadership role or 7-10+ delivered projects, programmes 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 foundations in Data Management, Data Architecture, Data Governance, Data Engineering, Data Analytics, and DataOps, including modern data architectures, the modern data stack, and industry best practices.
- Experience with leading cloud data platforms such as AWS, GCP, Azure, Snowflake, and Databricks, as well as open source and vendor 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 warehouse, data lake, lakehouse, data mesh, and data fabric patterns, distributed systems, and building data pipelines, including ETL and ELT design, implementation, and maintenance.
- Comfortable operating at a strategic level while remaining close enough to technical details to add value to clients and team members.
- Experience in the finance domain.
- Experience supporting sales and pre sales activities.
- Proficient English language skills.
- Strong communication skills.
Nice to have
- 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.
Looking for Similar Opportunities?

We offer
Vacation
As per the laws of your country. We do ask you to take a proper rest
Health insurance
We help you to take out an insurance policy for you and your loved ones
Sick pay
10 days without a doctor's note, afterwards - as per the laws of your country
Time off for state holidays
According to the official calendar, regardless of the client’s schedule
Pleasant environment
Two large corporate parties and many small get-togethers for colleagues
Comfort service
Solving technical and everyday problems at work
What if I can’t find it?
FAQ for Candidates
Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top-tier courses and learning platforms. View current openings and take the next step with us.



