Technical Lead

Evolvice; Riyadh; Híbrido; SAR 350.000 - 550.000; Jornada completa

Descripción de la vacante

Evolvice is seeking a Senior Data Architect to own the technical outcome of client software engagements—from architecture choices to production systems that are maintainable after handover. You will work across web, mobile, cloud and data products, often in parallel streams with different constraints.

This role expects 10+ years in data engineering and architecture, deep Google Cloud experience, and hands-on SQL and Python.

Formación

• 10+ years in data engineering and architecture.
• 3+ years hands-on Google Cloud experience.
• Experience with BigQuery, Cloud Storage, Dataflow, Cloud Run or GKE, IAM, networking.
• Hands-on SQL and Python; building data pipelines.
• Design and document HLD and LLD for lakehouse architecture.
• Experience designing Customer 360 data models and mappings.
• Knowledge of data quality, lineage, metadata management.
• Power BI semantic models and embedding in Dynamics 365.
• Security/compliance by design including Saudi data residency and PDPL.
• Lead a team of 6-8 engineers; on-site Riyadh discovery phase.

Responsabilidades

• Own the technical outcome of client engagements from architecture to production.
• Lead delivery across web, mobile, cloud, and data products with quality.
• Design lakehouse architectures and document HLD/LLD.
• Mentor a 6-8 person team and ensure on-time delivery during discovery phase.

Conocimientos

Data architecture

Google Cloud

BigQuery

Data pipelines

SQL

Python

HLD/LLD design

Lakehouse

Customer 360

Security by design

Team leadership

Power BI

Data residency (Saudi)

Herramientas

Dataflow

Cloud Run / GKE

IAM

Airflow

dbt

Power BI embedding

Oracle data warehouses

Descripción del empleo

You will own the technical outcome of client software engagements—from first architecture choice to a system that runs in production and is maintainable after handover. The work spans web, mobile, cloud, and data products, often in parallel streams with different constraints. Success is not a stack of tickets closed. It is a delivery that meets the agreed scope, quality, and date, and a team that can repeat that result without you rewriting the code.

Required Experience and Skills

• 10+ years of experience in data engineering and architecture, including at least 3 years of hands‑on Google Cloud experience.
• Strong knowledge of BigQuery, Cloud Storage, Dataflow, Cloud Run or GKE, IAM, networking, Airflow, and dbt in production environments.
• Hands‑on experience writing and reviewing SQL and Python, building data pipelines, and developing curated data models.
• Ability to design and document High‑Level Design (HLD) and Low‑Level Design (LLD) for a lakehouse architecture, including raw, standardized, and curated layers.
• Experience designing Customer 360 target data models and source‑to‑target mappings across data lakes and Oracle data warehouses.
• Knowledge of identity resolution, deterministic and probabilistic matching, survivorship rules, data quality frameworks, reconciliation, data lineage, and metadata management.
• Experience building Power BI semantic models with row‑level and object‑level security, as well as embedding Power BI content in Dynamics 365.
• Experience with restricted‑data environments, such as medical data, is a strong advantage.
• Strong understanding of security and compliance by design, including encryption, audit logging, Saudi data residency, and PDPL.
• Familiarity with BigQuery ML and Gemini/Vertex AI for AI‑ready data foundations is an advantage.
• Experience in insurance or banking data domains, including policies, claims, customers, and providers.
• Ability to lead a team of 6-8 engineers and developers.
• Must be available for the initial three‑week on‑site Discovery phase in Riyadh, with a hybrid arrangement thereafter.