Fresh Jobs at DAG Industries Nigeria Limited

Why This Role Exists

• DAG Industries Nigeria is digitizing. You’ll build reliable data pipelines and models that turn raw data into trustworthy, analytics-ready datasets—fuelling decisions across the business in real time.

Responsibilities
What you’ll do:

• Own data pipelines end-to-end: Design, build, and maintain batch pipelines for all business units.
• Model the data: Implement robust data models that support BI, ML, and operational use cases.
• Manage storage layers: Create modern data lakes/lakehouses and warehouse schemas; ensure efficient partitioning, compaction, and cost control.
• Harden data quality: Implement tests, contracts, and observability (lineage, metadata, SLAs).
• Secure & govern: Apply best practices for IAM, data masking, encryption, and compliance with NDPR and company policies.
• Collaborate & enable: Partner with our business units to define datasets, publish documentation, and enable self-service.
• Automate the platform: Use CI/CD and Infrastructure-as-Code to provision and maintain data infrastructure reliably and use tools for workflow orchestration.
• Continuously improve: Profile workloads, tune jobs, and reduce costs while improving reliability and performance.

Must-Have Skills & Experience:

• Programming Languages: Proficiency in Python, Java, or Scala (one or more).
• Database Management: Strong SQL and hands-on experience with both relational (e.g., Postgres, MySQL, SQL Server) and NoSQL stores (e.g., MongoDB, Cassandra, DynamoDB).
• ETL/ELT Processes: Proven experience designing and operating Extract–Transform–Load workflows (batch and streaming).
• Data Modelling: Solid grasp of data modelling concepts and techniques (OLTP vs. OLAP, dimensional modelling, normalization).
• Automation: experience in creating automation with scripting and Microsoft Power Apps.
• Cloud Computing: Working knowledge of AWS, Azure, or Google Cloud services for data engineering (e.g., S3/ADLS/GCS, EMR/Databricks/Synapse/BigQuery, MSK/Kinesis/Pub/Sub).
• Big Data Technologies: Practical familiarity with Hadoop, Spark, and Kafka.
• Foundations: Git, Linux, containers; writing production-grade, testable code; clear documentation.

Nice to have:

• Airflow/Dagster orchestration expertise; dbt for transformations.
• Knowledge about lakehouse patterns (Delta/Apache Hudi/Iceberg) and columnar formats (Parquet).
• Data quality/observability tooling (Great Expectations, Monte Carlo, OpenLineage).
• CI/CD (GitHub Actions, GitLab CI, Azure DevOps) and IaC (Terraform, CloudFormation).
• BI exposure (Power BI, Looker, Tableau, Qlik Sense) and ML feature pipelines (Feast, Tecton) a plus.
• Domain experience in automotive, aftermarket, logistics, or multi-site service networks.

Requirements
Education & Experience:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
• 3–7+ years in data engineering (title/level will align with experience and scope).

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Job Summary

• The Solutions Architect will be responsible for designing, integrating, and overseeing end-to-end technology solutions that align with Dag Industries’ business objectives.
• This role bridges the gap between business needs and technical execution, ensuring all solutions are secure, scalable, and future-proof.
• The Solutions Architect will work closely with business stakeholders, outsourcing partners, and internal IT teams to deliver solutions in infrastructure, applications, integrations, and data platforms.

Key Responsibilities
Solution Design & Architecture:

• Translate business requirements into scalable, secure, and cost-effective technical architectures.
• Design solutions spanning infrastructure, cloud services, enterprise applications, integrations, and security.
• Produce architecture diagrams, solution blueprints, and technical documentation.

Stakeholder Engagement:

• Act as the primary liaison between business units, outsourcing partners, and internal IT teams to ensure alignment on solution objectives, constraints, and delivery timelines.
• Facilitate solution workshops with cross-functional teams and manage the flow of information between technical and business stakeholders.
• Present solution designs to executive stakeholders for review and approval.

Integration & Application Architecture:

• Design integration patterns for CRM and other custom applications.
• Develop API and middleware strategies to enable seamless data and process flows between platforms.
• Collaborate with outsourced development teams to ensure designs are implemented exactly as specified and meet quality standards.

Cloud & Infrastructure:

• Architect hybrid cloud solutions using AWS, Azure, and on-prem infrastructure.
• Recommend and design modern cloud-native patterns (e.g., serverless, containerization, microservices).
• Ensure infrastructure meets performance, resilience, and disaster recovery requirements.

Security & Compliance:

• Embed cybersecurity best practices in all solution designs.
• Ensure compliance with regulatory standards (e.g., ISO 27001, local data protection laws).
• Work with security teams to design and implement zero-trust architectures and data protection strategies.

Governance & Standards:

• Apply architecture frameworks (e.g., TOGAF, ArchiMate) to ensure design consistency and reusability.
• Maintain architecture repositories, roadmaps, and design principles.
• Conduct design reviews to ensure adherence to architectural standards.

Required Qualifications & Experience

• Bachelor’s Degree in Computer Science, Information Technology, or a related field.
• 10+ years of IT experience, with at least 5 years in architecture or solution design roles.
• Proven experience designing end-to-end enterprise solutions across infrastructure, cloud, and integrations.
• Strong knowledge of cloud platforms (AWS, Azure) and hybrid architecture patterns.
• Experience with enterprise integration patterns, APIs, microservices, and middleware.
• Familiarity with architecture frameworks such as TOGAF or ArchiMate.
• Strong understanding of security architecture and compliance frameworks.
• Exposure to Agile delivery, DevOps, and DevSecOps practices.
• Excellent communication skills for technical and non-technical audiences.
• Experience managing relationships with outsourcing partners and internal IT teams.

Nice-to-Have Skills:

• Knowledge of data analytics platforms and designing for BI / reporting.
• Pre-sales or client-facing solution design experience.