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Global Cellulose Fibers · 2 weeks ago

Data and Analytics Solutions Architect

Memphis, TN

Full-time

Hybrid

Senior Level, Lead/Staff

$118K/yr - $174K/yr

10+ years exp

Global Cellulose Fibers is a leader in sustainable fiber products, seeking a Data and Analytics Solutions Architect to design and deliver enterprise-scale data platforms. The role involves integrating diverse data sources into unified analytics frameworks and collaborating with stakeholders to create scalable data solutions.

Paper & Forest Products

Responsibilities

Design and deliver enterprise-scale data platforms that power business intelligence, predictive analytics, and machine learning across cloud and on-premises environments

Integrate diverse data sources—including SAP BW and SAP HANA—into unified analytics frameworks, enabling strategic insights and operational excellence

Collaborate with business and IT stakeholders to translate goals into scalable, secure, and high-performance data solutions

Work closely with managed service providers – ensuring delivery of robust reporting and analytics platforms

Foster best practices in data modeling, ETL/ELT, and analytics delivery, while championing automation and DevOps to accelerate innovation

Evaluate emerging technologies, support cloud modernization, and contribute to digital transformation initiatives that span the entire Global Cellulose Fibers organization

Qualification

Data architectureSAP BW on HANACloud platformsData modelingETL/ELT developmentSQLPythonPower BIMachine learning frameworksDevOpsData governanceCommunication skillsLeadershipTeam player

Required

Minimum of 10 years of experience in data architecture, analytics, and engineering roles, with at least 5 years in a senior or lead capacity

Proven experience integrating SAP BW on HANA into enterprise analytics platforms

Strong background in data modeling, ETL/ELT development, and advanced analytics across structured and unstructured data

Expertise with cloud platforms and enterprise data solutions, including Microsoft Azure (Fabric, Synapse, Data Lake, Azure ML), SAP Business Data Cloud, MS SQL Server, and Oracle

Experience designing data warehousing, lakehouse, and real-time streaming architectures

Proficiency in programming and analytics tools: SQL, Python, PySpark, Power BI, Alteryx, Azure Analysis Services

Familiarity with machine learning frameworks: scikit-learn, TensorFlow, Azure AutoML

Experience with DevOps and automation, including Azure DevOps and CI/CD pipelines for data and ML workflows

Knowledge of data governance, security, and compliance frameworks (GDPR, SOX), including role-based access control, data lineage, cataloging, Azure Purview, Key Vault, and Active Directory

Experience with agile methodologies and product lifecycle management

Bachelor's degree in Computer Science, Information Systems, Data Science, or related field required

Strong communication, leadership, and stakeholder engagement abilities