Tribe Tech Lead, Data Enabling and Management Tribe

Full time

Yerevan

10 November 2026

Employment term Permanent

Category Banking/credit

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Job description:

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.

The Tribe Tech Lead acts as the primary technical authority within the tribe, bridging business needs, data architecture, platform capabilities, and engineering execution, while ensuring system uptime and maintainability for allocated platforms.

Job responsibilities

Technical Leadership & Architecture Governance

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.

Planning, Prioritization & Delivery Governance

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.

Data Platform & Engineering Oversight

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.

Data Governance, Security & Compliance

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.

Operational Excellence & Risk Management

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.

Stakeholder Collaboration & Communication

Act as the primary technical point of contact for the Data Tribe toward:
- Business stakeholders
- Other IT tribes
- Security and Risk teams
Translate business requirements into clear and feasible technical direction.
Identify and mitigate cross-team technical dependencies and risks.

Team Enablement & Capability Building

Define and align tribe and squad IT objectives.
Mentor Tribe Chapter Leads and Senior Data Engineers.
Participate in technical hiring and role definition.
Build technical capability and capacity within product teams.
Foster a culture of engineering excellence, documentation, knowledge sharing, and continuous improvement.

Contribute to IT budget planning and optimization for product teams.

Required qualifications

Professional Experience

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.

Technical Skills

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).

Leadership & Behavioral Competencies

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.

Nice to Have

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.

Reporting Line

Reports to: Chief Infrastructure and Data Officer
Works closely with:
- Data Enabling, Data Platform, Metadata and Data Quality Management
- Infrastructure & Platform teams
- Security & Risk

- Business Product Owners

Professional skills

MS Office Data governance IT solutions and new technologies

Soft skills

Decision making Analytical skills