Job Description : Lead Data Engineer & Architect – OrYx maistro Projects

Location : Muscat, Oman (On-Site)

Employment Type : Full-Time

 

About the Role :

We are seeking a highly qualified Data Engineer with deep architectural expertise and data science exposure to spearhead the deployment of OrYx maistro, our enterprise-grade data orchestration platform, across key national and regional clients. You will serve as the technical and architectural lead, managing complex data ecosystems in industries such as telecommunications, public security, banking, and oil & gas.

 

This role is not just about building pipelines — it’s about engineering high-ROI data architectures that activate dormant data assets and support AI/ML enablement across the enterprise.

 

Key Responsibilities :

Enterprise Data Architecture & Engineering

• Architect full-stack data platforms using OrYx maistro, covering extraction, transformation, orchestration, governance, and AI/ML pipeline integration.
• Design and implement scalable, secure, and high-availability data architectures that unify siloed systems across clients.
• Own the end-to-end Data Value Chain strategy from ingestion to business insight delivery.

 

Project Leadership & Execution

• Lead technical delivery of maistro implementations across sectors—ensuring uptime, quality, and regulatory compliance.
• Collaborate with clients’ CIOs, data teams, and business units to ensure data pipelines align with operational goals.
• Deliver solutions that accelerate analytics and AI time-to-insight by 10x compared to legacy systems.

 

Data Monitoring & Quality Assurance

• Implement intelligent data monitoring, alerting, and load balancing to maintain business continuity in data-critical environments.
• Define and automate data quality rules at every stage of the pipeline (ingestion, staging, consumption).

 

AI/ML & AutoML Pipeline Integration

• Collaborate with data science teams to operationalize ML models and AutoML outputs directly within maistro pipelines.
• Enable production-grade deployment of ML models across CRM, ERP, and command center systems.

 

Governance & Compliance

• Lead the implementation of data governance policies including RBAC, PII masking, audit trails, and lifecycle management.
• Ensure alignment with local and international regulatory requirements (GDPR, HIPAA, FSA, Central Bank Data Mandates, etc.)

 

Required Qualifications :

Technical Skills

• 10+ years of experience in enterprise data engineering, with at least 4 years in data architecture roles.
• Strong expertise in ETL frameworks, data lake architecture, streaming pipelines, and workflow orchestration tools.
• Proficiency in cloud and on-prem environments (Cloudera, Azure, RedHat, Hadoop, Delta Lake, Spark, Airflow, Kafka, Prometheus, Kubernetes).
• Proven experience building MLOps-ready pipelines and AutoML-enabled platforms.
• Programming in Python, SQL, Bash, and familiarity with ML libraries (H2O.ai, scikit-learn, MLflow, etc.).

 

Domain Experience

• Prior hands-on work in telecom OSS/BSS, public sector security systems, core banking analytics, and industrial SCADA/IoT data pipelines.
• Familiarity with telecom KPIs, banking compliance reporting, or oil & gas sensor data transformation is a strong advantage.

 

Data Science Exposure

• Ability to support or co-develop feature engineering, churn models, anomaly detection, and forecasting pipelines.
• Understanding of AI model lifecycle, from training to inference and model drift management.

 

Soft Skills & Leadership :

• Exceptional client engagement and technical presentation skills.
• Demonstrated ability to lead cross-functional teams including client-side engineers, analysts, and data stewards.
• Strong strategic thinking—able to translate business objectives into data architecture blueprints.

 

Preferred Certifications :

• Certified Data Management Professional (CDMP)
• Google Cloud / Azure Data Engineer Certification
• Databricks Lakehouse Platform Architect
• IABAC Certified AI/ML Business Leader or equivalent

 

What We Offer :

• Opportunity to lead flagship AI-driven data modernization projects with international impact.
• Work with cutting-edge tools like OrYx maistro, a next-gen Data Orchestration Platform used across critical industries.
• Competitive compensation, equity options, and a performance bonus structure.
• Direct engagement with senior leadership across telecom, government, banking, and oil & gas sectors.

 

How to Apply :

Submit your application by answering a few Lead Data Engineer – Screening Questions, or send your resume and portfolio of past data architecture projects to careers@phonologies.com, and be sure to include "Lead Data Engineer – OrYx maistro – Muscat" in the subject line.