Data Solution Architect, Supply Chain – Part-Time Consultant

📋 Description

• Define and lead the enterprise data strategy, ensuring alignment with business objectives, data architecture, and the adoption of AI/ML technologies.

• Design and implement contemporary cloud data platforms, including lakehouses, data warehouses, and streaming architectures.

• Establish and uphold standards for data architecture.

• Take ownership of and define frameworks for enterprise data governance, covering aspects like data ownership, stewardship, lineage, metadata, and quality standards.

• Develop data management operating models and governance processes that integrate business and engineering teams.

• Design and construct scalable, dependable, and high-performance data pipelines.

• Optimize data platforms to enhance performance, scalability, and cost-effectiveness.

• Ensure the quality, consistency, and accessibility of data across all layers.

• Enable AI-ready data platforms, guaranteeing governed, traceable, and high-quality datasets suitable for analytics and machine learning.

• Conduct assessments of data maturity and outline transformation roadmaps.

• Facilitate client workshops, architecture discussions, and pre-sales engagements.

• Create and present solution architectures, proposals, and technical strategies.

• Serve as a trusted advisor to C-level stakeholders and engineering teams.

• Develop reference architectures, best practices, and reusable assets.

• Mentor engineers while contributing to the development of a high-performing data engineering and architecture capability.

⛳️ Requirements

• 8+ years of experience in data architecture and hands-on data engineering.

• Experience within the Supply Chain industry, including warehouse operations, WMS, TMS, EDI, YMS, etc.

• Strong hands-on experience in building and optimizing:

• Batch and streaming data pipelines.

• ETL/ELT processes.

• Scalable and high-performance data solutions.

• Optimize data platforms for performance and cost efficiency, while balancing scalability, reliability, and expenses.

• In-depth understanding of:

• Medallion architecture (Bronze/Silver/Gold).

• Data modeling approaches (dimensional, Data Vault, lakehouse modeling).

• Proven experience in defining and implementing:

• Enterprise data governance frameworks encompassing data ownership, stewardship, lineage, and quality standards.

• Data management operating models aligned with specific business domains.

• Experience in establishing:

• Data standards, naming conventions, and metadata management practices.

• Strong communication skills, a proactive attitude, a sense of ownership and accountability, along with the ability to present complex concepts tailored to diverse audiences.

• Experience in client-facing roles that include facilitating workshops and discovery sessions, as well as presenting architecture and strategy to senior stakeholders.

🏝️ Benefits

• Innovecs is an equal opportunity employer. All hiring decisions are made based on professional qualifications, skills, and experience. We are dedicated to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.