Lead Data Engineer / Data Platform Lead

✅We are looking for a Lead Data Engineer / Data Platform Lead.

🦸We need a strong hands-on Lead / Staff Data Engineer to whom we can transfer technical ownership of the Data Core.

📁About the project: We are building a Customer Intelligence & Personalization Platform for an international ecosystem of businesses.

💼Responsibilities: •You will need to not only make technical decisions but also independently implement key parts of the platform. •Own the architecture and development of the Data Core. •Design Bronze / Silver / Gold layers and data models. •Explore banking, legacy, and external sources, restore their semantics. •Build pipelines from raw data to prepared data products. •Develop transformations using SQL / dbt / Python. •Define engineering standards for ELT, data modeling, metadata, lineage, and data quality. •Develop a data catalog and a metadata-as-code approach. •Design data contracts and integrations of the Data Core with other components. •Translate research solutions and manual processes into production. •Work with Git, CI/CD, Docker, Linux, and isolated Dev/UAT environments. •The team will also include engineers and data scientists.

🏆We use an AI-native approach to development and expect the same from the candidate. For us, AI is a tool to enhance the productivity of a strong engineer, not a replacement for engineering expertise.

⚙️Qualifications and experience: •Core banking / legacy banking systems. •Experience as a Lead / Staff / Principal Data Engineer or a strong Senior with architectural ownership. •Experience in designing and independently implementing a data platform / DWH / Lakehouse. •Customer 360 / Golden Record / MDM •Strong SQL and confident Python. •dbt or similar transformation frameworks. •Airflow / Dagster / Prefect or similar. •Good understanding of data modeling, historization, grain, and master entities. •Hands-on experience with data quality, lineage, and metadata management. •Data Vault 2.0. •OpenMetadata or other data catalog solutions. •Ability to make independent technical decisions and be responsible for the results. •Experience working with poorly documented sources. •Git, CI/CD, Docker, Linux. •Practical AI-native development approach.

🤝Conditions: •Employment: Sole Proprietorship (IP) •Work format: full-time employment •Location - Yerevan or readiness for regular business trips (up to 2 times a month for several days) to Yerevan to work with customer data and specialists. •Compensation level: discussed individually

📩 Contact: @ElenaK_it_recruiter