Job description

As a Lead Data Architect, Client Delivery, you will own the technical delivery of two large, fast-growing US data accounts from our Ghana service centre. You will be the senior hands-on architect and delivery lead that client teams and our engineers rely on every day, BI and software engineers, and keep quality high as the accounts grow. Why This Role Exists Our data consulting practice is growing faster than our senior bench. Two anchor US clients now run multi-workstream programmes: enterprise data lakes on Microsoft Fabric that consolidate several ERPs, executive finance and operations reporting, and AI applications built on top of that data. New requests arrive every month. We need a second senior technical leader who can run delivery with little day-to-day oversight. That frees our Director of Data to grow these accounts further and to take on new clients of similar size. What You'll Own Data Architecture and Technical Quality: • Own the target data architecture for each account, including Medallion lakehouse design (Bronze/Silver/Gold), semantic models, naming conventions, lineage and access control • Design integrations from several source systems into one governed platform. Typical sources are SAP ECC, Infor, CMiC, Sage 300 and Salesforce, plus operational apps and APIs • Set and enforce engineering standards: code review, CI/CD in Azure DevOps or GitHub, testing and data-validation gates, runbooks and documentation • Review designs and pull requests from engineers, and step in hands-on when a pipeline, model or deadline is at risk. Client Delivery: • Act as day-to-day technical lead for client stakeholders, up to senior executive level; run working sessions, gather business rules and turn them into delivery plans • Plan and track delivery across parallel workstreams, flagging risks and blockers early with a proposed fix and a clear ask of the client • Write concise executive updates and own the quality of everything the team sends to the client. Growth and Team: • Spot follow-on opportunities, then help shape scope, estimates and statements of work, including AI use cases with a clear business case • Coach mid-level leads and grow junior engineers into owners of their workstreams. Build reusable playbooks so each new engagement starts faster • Support staffing of new projects: interview candidates, plan onboarding and balance load across accounts. Must Have • BSc in Computer Science, Computer Engineering, Mathematics, Statistics, IT, or a related field • 8+ years of experience in Data Engineering or Business Intelligence (BI), including 3+ years as an architect or technical lead on production platforms • Proven delivery on Microsoft Fabric or Azure (Synapse, Data Factory, Databricks on Azure), with strong Power BI semantic-model and governance skills • Expert SQL and Python/PySpark, with strong dimensional modelling skills, including slowly changing dimensions and harmonising data across domains • Experience integrating ERP data (finance, job cost, AP/AR, inventory) and knows how to get and validate the business rules behind it • Experience leading external clients or senior business stakeholders in a consultancy, agency or product company where client delivery comes first • Clear written English and the ability to explain technical trade-offs to non-technical executives. Strong Plus • Experience working with US clients across time zones • Applied shipped AI on enterprise data: LLM assistants over governed data, document capture, agent workflows • Some application development (C#/.NET or TypeScript), so you can steer software workstreams as well as data • Experience leading teams of mixed seniority, including graduates and apprentices • Familiarity with Microsoft Fabric, Power BI, PySpark, SQL, Azure DevOps and Medallion architecture. Core stack : Microsoft Fabric · Power BI · PySpark · SQL · Azure DevOps · SAP ECC · Medallion architecture What Success Looks Like • 90 days : Owns the architecture and delivery plan for at least one account. Leads client working sessions without the Director present. Code review and validation standards are in place across the team. • 6 months : Runs day-to-day delivery on both accounts. The client sees them as the technical lead. At least one follow-on scope has been shaped and sold with Sales. • 12 months : The accounts have grown with steady or better quality. Mid-level leads own their workstreams. Playbooks are reused on a new client engagement. What We Offer • Senior ownership in a young, fast-growing consulting practice, working directly with the Global Director of Data, VP North America and COO. • Large, varied enterprise data problems with real business impact and executive visibility. • Partnerships with Microsoft, AWS and Anthropic, with certification support. • A mission-driven company building world-class tech careers in Africa How To Apply Interested and qualified applicants should complete the application process via AmaliTech Careers . Application deadline is October 26, 2026. Documents required for applying: • Latest copy of CV (mandatory, PDF format) • Other certificates (optional, PDF format) • A short note on a data platform you designed or led, and what you would do differently today. Recruitment Process • Application • Online Interview(s) • Job offer Perks • Pension benefits (Tier 1, 2, Provident fund) • Bonuses and end-of-year package • Internet data allocation for remote work • Medical insurance • Lunch Allowance • Employee welfare benefits (for weddings, funerals) • Employee bonding activities (bi-monthly happy hour, sporting activities) What To Expect Working with AmaliTech provides an excellent opportunity for career growth and development in a healthy and diverse work environment. Our talented and welcoming team will ensure you feel part of our family to get you engaged on the job. You have the opportunity to build an international IT career and work with global IT companies. For any enquiries, call us Mon - Fri, 8 am to 4 pm, at M +233 59 394 6537 E abigail.sampson@amalitech.com

Requirements

Must-haves

Why This Role Exists
We need a second senior technical leader who can run delivery with little day-to-day oversight. That frees our Director of Data to grow these accounts further and to take on new clients of similar size.
What You'll Own
Own the target data architecture for each account, including Medallion lakehouse design (Bronze/Silver/Gold), semantic models, naming conventions, lineage and access control
Design integrations from several source systems into one governed platform. Typical sources are SAP ECC, Infor, CMiC, Sage 300 and Salesforce, plus operational apps and APIs
Set and enforce engineering standards: code review, CI/CD in Azure DevOps or GitHub, testing and data-validation gates, runbooks and documentation
Review designs and pull requests from engineers, and step in hands-on when a pipeline, model or deadline is at risk.
Act as day-to-day technical lead for client stakeholders, up to senior executive level; run working sessions, gather business rules and turn them into delivery plans
Plan and track delivery across parallel workstreams, flagging risks and blockers early with a proposed fix and a clear ask of the client
Write concise executive updates and own the quality of everything the team sends to the client.
Spot follow-on opportunities, then help shape scope, estimates and statements of work, including AI use cases with a clear business case
Coach mid-level leads and grow junior engineers into owners of their workstreams. Build reusable playbooks so each new engagement starts faster
Support staffing of new projects: interview candidates, plan onboarding and balance load across accounts.
BSc in Computer Science, Computer Engineering, Mathematics, Statistics, IT, or a related field
8+ years of experience in Data Engineering or Business Intelligence (BI), including 3+ years as an architect or technical lead on production platforms
Proven delivery on Microsoft Fabric or Azure (Synapse, Data Factory, Databricks on Azure), with strong Power BI semantic-model and governance skills
Expert SQL and Python/PySpark, with strong dimensional modelling skills, including slowly changing dimensions and harmonising data across domains
Experience integrating ERP data (finance, job cost, AP/AR, inventory) and knows how to get and validate the business rules behind it
Experience leading external clients or senior business stakeholders in a consultancy, agency or product company where client delivery comes first
Clear written English and the ability to explain technical trade-offs to non-technical executives.
Experience working with US clients across time zones
Applied shipped AI on enterprise data: LLM assistants over governed data, document capture, agent workflows
Some application development (C#/.NET or TypeScript), so you can steer software workstreams as well as data
Experience leading teams of mixed seniority, including graduates and apprentices

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdazuresqlpythonllmtypescriptaws

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