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Рекламный баннер: ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ"
О рекламодателе
ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ"
ИНН: 9704271170

описание

The Tribe Tech Lead (TTL) is the technical co-head of the Data Enabling & Management Tribe, jointly accountable with the Tribe Lead for achieving tribe objectives from a technology perspective. The role is responsible for technical leadership, architecture alignment, delivery governance, and operational stability of data platforms and data management capabilities across the organization. The TTL ensures that business goals are translated into secure, scalable, and sustainable technical solutions, aligned with enterprise architecture standards and regulatory requirements.

задачи

  • Define and govern the technical vision and target architecture for data platforms and data management capabilities.
  • Ensure alignment with Enterprise Architecture principles, IT standards, security policies, and regulatory requirements.
  • Review and approve solution designs, architectural decisions (ADRs), and technical proposals.
  • Define and enforce architecture standards and non-functional requirements (performance, availability, security, observability, DR).
  • Participate in architecture and technical governance forums.
  • Co-define the tribe technical roadmap together with the Tribe Lead.
  • Shape and prioritize IT-related initiatives within the tribe backlog.
  • Synchronize technical delivery with Product Owners and squads.
  • Support release planning, dependency management, and risk mitigation.
  • Ensure delivery follows Agile / Agile@Scale and SDLC standards.
  • Balance delivery speed with long-term architectural sustainability.
  • Provide technical oversight for data ingestion, transformation, orchestration, storage, and serving layers.
  • Ensure scalability, performance, resilience, and cost efficiency of data platforms.
  • Guide adoption of modern data stack components and best practices.
  • Oversee integration of on-prem and hybrid data solutions.
  • Ensure effective data lifecycle management.
  • Work closely with Metadata and Data Quality Management teams to embed metadata management, data quality controls, lineage and cataloging.
  • Provide technical leadership for the setup and integration of an enterprise data governance solution, ensuring governance controls are built into platforms and pipelines.
  • Support implementation of access control, data classification, auditability, and compliance requirements.
  • Ensure operational readiness of data platforms (monitoring, alerting, incident response).
  • Participate in incident analysis (RCA) and drive systemic improvements.
  • Support DR/BCP planning for data platforms.
  • Ensure compliance with internal policies, security standards, and regulatory requirements.
  • Maintain system uptime and support platform maintenance for allocated systems.
  • Act as the primary technical point of contact for the Data Tribe toward business stakeholders, other IT tribes, Security and Risk teams.

требования

  • 8+ years of experience in data engineering, data architecture, or platform engineering.
  • 3+ years in a technical leadership role (Tech Lead, Lead Engineer, Solution/Data Architect).
  • Experience with enterprise-scale data platforms, preferably in regulated environments.
  • Experience working in Agile / Agile@Scale delivery models.
  • Data Warehouse and Data Lake architectures (ODS, DDS, Data Marts).
  • On-prem and hybrid data platforms. frameworks, orchestration, and SQL/data modeling.
  • Streaming and batch data processing concepts.
  • Understanding of cloud data services and Kubernetes at architecture level.
  • Data security, access control, metadata, lineage, and data quality concepts.
  • Awareness of regulatory and compliance requirements (PII, audit, data residency).
  • Strong ownership and accountability mindset.
  • Ability to make and defend complex technical decisions.
  • Excellent communication skills with technical and non-technical stakeholders.
  • Coaching and mentoring approach.
  • Analytical, fact-based decision making.
  • Ability to manage cross-team dependencies and conflicts.
  • Будет плюсом: Experience with AI/ML platforms or MLOps; Experience with event-driven architectures (e.g., Kafka); Participation in architecture or technical governance committees; Background in Enterprise Architecture or IT Strategy

условия

  • Условий в вакансии нет

Армянский банк: розничные и корпоративные услуги.

Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайся: это мошенничество.

Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайся: это мошенничество.