Head of Data

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Pragmatike

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

Pragmatike is a remote IT recruitment and staffing company that sources, vets, and places international tech talent for businesses. They provide human-curated matching (not solely AI), technical assessments, and fast placements—claiming qualified specialists can be introduced within 48 hours—while handling onboarding, invoicing and international payroll. Pragmatike serves startups and enterprises with roles like developers, data engineers, mobile and game developers, product managers and specialists, operating across 60+ countries with a large vetted talent pool.

📋 Description

• Define and execute the organization's long-term data strategy aligned with business objectives • Own the architecture and evolution of the enterprise data platform, covering ingestion, transformation, storage, and data access • Build, lead, and develop a high-performing data engineering team while establishing engineering standards and delivery best practices • Design and implement scalable data governance frameworks covering ownership, quality, lineage, metadata, and stewardship • Ensure the platform remains secure, reliable, scalable, and cost-efficient while supporting both operational and analytical workloads • Drive adoption of self-service analytics by enabling business teams to confidently access and leverage trusted data • Partner with senior leadership to identify strategic data initiatives and translate business priorities into technical roadmaps • Establish delivery processes, prioritization frameworks, and operating models that balance immediate business needs with long-term platform sustainability • Evaluate and implement appropriate tooling, cloud technologies, and vendor solutions where required • Champion a data-driven culture by improving data literacy, promoting best practices, and increasing organizational data maturity • Communicate technical strategy, delivery progress, risks, and business impact clearly to executive and non-technical stakeholders • Support the organization's AI and advanced analytics initiatives by building robust data foundations

🎯 Requirements

• Proven experience leading enterprise data strategy and owning modern data platforms within complex organizations • Extensive experience building and leading Data Engineering or Data Platform teams • Strong expertise with modern cloud-based data architectures, data warehousing, ETL/ELT pipelines, and data platform design • Demonstrated experience implementing data governance, data quality, lineage, metadata management, and stewardship frameworks • Track record of scaling data capabilities and improving organizational data maturity • Experience delivering self-service analytics capabilities and enabling business adoption of data products • Strong understanding of cloud technologies and modern data engineering best practices • Experience engaging executive stakeholders and influencing strategic business decisions through data • Excellent leadership, communication, and organizational skills • Fluent English communication skills.

🏖️ Benefits

• Lead the company's enterprise-wide data strategy and shape its long-term technology direction • Build and scale a modern cloud-based data platform supporting analytics, operations, and AI initiatives • Create and develop a high-performing engineering organization with significant influence across the business • Work closely with executive leadership on strategic initiatives that directly impact company growth • Drive meaningful organizational transformation by embedding data into decision-making at every level