обновлено 4 дня назад
Senior Data Architect (Finance)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Architect (Finance): Designing data solution architectures and leading data platform and transformation initiatives with an accent on data governance, modeling, security, integration patterns, and non-functional requirements. Focus on guiding implementation from requirements through production, advising financial-services clients, and evaluating architecture across complex data programs.
Location: Remote or in-person in Belgrade, Cluj-Napoca, Krakow, Larnaca, Lodz, Lublin, Monterrey, Montevideo, Rosario, Riga, Sofia, Varna, Warsaw, Wroclaw, or remote from Argentina, Brazil, Bulgaria, Colombia, and Poland.
Company
delivers software engineering and data and analytics solutions through global projects and distributed R&D centers.
What you will do
- Communicate directly with business stakeholders and guide clients through complex data transformation initiatives.
- Define technical aspects for development teams and justify architectural decisions.
- Lead solution implementation from requirements gathering and goal definition through production go-live.
- Design and evaluate solution architectures covering data governance, data management, data structures, security, integration patterns, and non-functional requirements.
- Participate in the full sales and pre-sales lifecycle and lead architecture assessment activities.
Requirements
- 7–10+ years of experience in data architecture, technology, consulting, or engineering leadership, or experience delivering 7–10+ projects, programs, or initiatives.
- Hands-on experience leading data and analytics projects and presenting solutions to senior stakeholders.
- Strong financial-services experience, especially in insurance or investment management.
- Strong foundations in data management, architecture, governance, engineering, analytics, DataOps, data modeling, data quality, metadata, warehouses, lakes, lakehouses, data mesh, data fabric, distributed systems, and ETL/ELT.
- Experience with AWS, GCP, Azure, Snowflake, Databricks, and other data and analytics tools.
- Proficient English, strong communication skills, sales and pre-sales experience, and flexibility for 3–7 business trips per year lasting 1–2 weeks.
Nice to have
- Consulting or professional-services experience, including sales engineering or pre-sales engineering.
- Consultative sales or sales engineering experience in data and analytics.
- Knowledge of finance-industry trends and experience developing value propositions for data and analytics solutions.
Culture & Benefits
- Vacation according to the laws of the country of employment.
- Health insurance support for employees and their loved ones.
- 10 days of sick pay without a doctor’s note, followed by country-specific statutory terms.
- Time off for state holidays according to the official calendar, regardless of the client’s schedule.
- IT certification and learning-platform cost support, plus team events and workplace comfort services.
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