Lead Data Engineer / Data Platform Architect (AWS) at Descasio - Nigeria

Descasio is a cloud computing solutions provider in Nigeria. We are the bridge between cloud based solutions and legacy On-Premise solutions. We harness cloud-computing technologies by helping organizations of all sizes dramatically improve employee productivity and focus on key business operations by removing the need for expertise and cost of expensive IT Infrastructure and personnel. Applications, Email, Document management are delivered as pay as you use services, so there are no hardware to procure, no large, up-front license fees, and no complex set-ups.

Role Summary

Descasio is seeking a hands-on Lead Data Engineer / Data Platform Architect to design, build, secure, and operate an enterprise-grade AWS-native DataHub.

This platform will serve two purposes:

• Power Descasio’s internal analytics and decision-making.
• Evolve into a commercial, multi-tenant DataHub o?ering for enterprise customers.

This is a capability-de?ning role, not a support role. You will own architecture decisions end-to-end, mentor junior engineers, and help turn a data platform into a repeatable, revenue-generating service aligned with Descasio’s AWS strategic partnership ambitions.

Ideal Candidate Pro?le

You are:

• Deeply Technical & Commercially Aware: You are a hands-on senior data engineer who can architect, build, secure, and operate an enterprise-grade data platform end-to- end, but you are also pragmatic and business-aware.
• An Owner: You are comfortable owning architecture decisions end-to-end and can work in a lean environment without heavy supervision.
• Biased for Action & Quality: You have a strong bias for automation, security-by-design, and scalability.
• A Mentor: You enjoy teaching, documenting, and up-skilling others.
• A Product Builder: You are interested in building products, not just pipelines, and are comfortable collaborating with cloud, security, and sales teams.

Experience:

• 7?10+ years in data engineering or data platform roles.
• 4+ years designing and running production data platforms.
• Strong, hands-on AWS experience (mandatory).
• Prior exposure to multi-tenant SaaS or managed services is a strong plus.

Key ResponsibilitiesData Platform Architecture & Delivery:

• Design and implement an enterprise-grade data architecture covering data ingestion (batch & near-real-time), a central data lake, a curated/analytics-ready data warehouse, and a semantic/consumption layer.
• Lead the build of Descasio’s internal pilot data platform using real enterprise datasets.
• Ensure the platform is scalable, secure, cost-e?cient, and cloud-native.

AWS-First Implementation:

• Own the selection and implementation of AWS services such as Amazon S3, AWS Glue / Lake Formation, Amazon Redshift / Athena, AWS IAM, KMS, VPC, Step Functions / MWAA (Air?ow), CloudWatch, and CloudTrail.
• De?ne and implement best practices for data partitioning & formats (Parquet, Iceberg, Delta), performance optimization, and cost controls.
• Design the platform in alignment with the AWS Well-Architected Framework.
• Implement FinOps principles: cost allocation, tagging, budgets, and guardrails.
• Produce delivery artifacts usable for AWS partner validations and references.

Multi-Tenancy & Security Design:

• Architect a multi-tenant data platform that supports strong tenant isolation (data, compute, metadata), ?ne-grained access control, encryption at rest and in transit, and auditability and compliance readiness.
• Design repeatable tenant onboarding, o?-boarding, and isolation patterns.
• Work closely with Descasio’s Security Practice to align with security o?erings.

Data Governance & Quality:

• De?ne and implement data governance models, data quality checks, metadata management, and lineage and cataloging.
• Establish clear standards for naming, versioning, and schema evolution.

Analytics & AI Readiness:

• Ensure the platform supports BI tools (Power BI, Looker, etc.) and advanced analytics and ML workloads.
• Design data models optimized for business decision-making.
• Enable future AI/ML and GenAI use cases without over-engineering early AI pipelines.

Mentorship & Capability Building:

• Mentor and upskill existing data analysts and junior engineers.
• Provide hands-on guidance, code reviews, and architecture walkthroughs.
• Create reusable templates, IaC modules, playbooks, and documentation.
• Help Descasio grow an internal Data Engineering capability.

Productization & Customer Readiness:

• Help de?ne how the platform is packaged as a paid managed service, including service tiers, SLAs, and reference architectures.
• Contribute to service descriptions and customer onboarding models.
• Support pre-sales discussions, demos, and solution assurance where deep technical input is required.

Required Skills & CompetenciesTechnical (Must-Have):

• Strong SQL and data modeling skills.
• Advanced, production-grade AWS experience.
• Data lake and data warehouse architecture design.
• ETL/ELT pipeline development.
• Infrastructure-as-Code (Terraform / CloudFormation).
• Python for data engineering.
• A security-?rst and cost-aware mindset.
• Familiarity with the AWS Well-Architected Framework.

Nice-to-Have:

• Experience with modern data formats like Apache Iceberg, Delta Lake, or Hudi.
• Exposure to dbt.
• SaaS or managed services background.
• Experience supporting regulated industries (e.g., Finance, Oil & Gas).
• AWS partner competency or validation experience.
• Experience with multi-account AWS strategies.
• Exposure to pre-sales or customer solution design.

Method of Application

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