Data Architect in United States at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Architect based in the United States.

Join a forward-thinking technology environment where you will play a central role in shaping enterprise data strategy and modernizing large-scale data platforms. In this role, you will design scalable, secure, and high-performance data architectures that enable advanced analytics, business intelligence, and digital transformation. You will lead data migration and modernization initiatives across complex enterprise systems while ensuring strong standards for governance, quality, and security. Working closely with business stakeholders, engineers, and architects, you will translate strategic objectives into robust technical solutions. This position offers the opportunity to influence end-to-end data ecosystems and drive meaningful impact across enterprise data capabilities. If you enjoy solving complex data challenges and building modern, scalable data platforms, this role provides a high-impact technical leadership opportunity.

• Define and drive the enterprise data strategy aligned with business goals, ensuring scalable and future-ready data architecture across the organization.
• Lead end-to-end data migration and modernization initiatives, including legacy system transformation, data mapping, validation, reconciliation, and cutover planning.
• Design and implement scalable, secure, and high-performance data architectures supporting both transactional and analytical workloads.
• Develop and maintain logical and physical data models that support enterprise applications, reporting, and analytics needs.
• Analyze existing data ecosystems and recommend modernization strategies to improve performance, reliability, scalability, and maintainability.
• Architect and optimize data integration solutions using ETL/ELT pipelines, APIs, and modern data processing frameworks.
• Optimize SQL queries, database structures, stored procedures, and overall system performance in large-scale environments.
• Collaborate with cross-functional stakeholders including business leaders, solution architects, engineers, and data teams to translate requirements into technical designs.
• Establish and enforce data governance, metadata management, master data management, data quality, and security standards.
• Provide technical leadership, architectural guidance, and mentoring to engineering and delivery teams.
• Review solution designs to ensure alignment with enterprise architecture standards and best practices.

• 8+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Management roles.
• Proven experience leading large-scale data migration and modernization programs.
• Strong expertise in SQL, including performance tuning, query optimization, and database design.
• Extensive experience designing enterprise-grade data architectures and data models.
• Strong background in data strategy development and enterprise data roadmap planning.
• Hands-on experience with relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.
• Experience with cloud data platforms such as AWS, Azure, or Google Cloud Platform.
• Strong knowledge of ETL/ELT tools, data pipelines, and integration frameworks.
• Solid understanding of data governance, data security, compliance, and enterprise data standards.
• Excellent analytical, problem-solving, and system design skills.
• Strong communication and stakeholder management abilities with experience working in cross-functional environments.
• Experience with modern data platforms such as Snowflake, Databricks, Azure Synapse, Redshift, or BigQuery is a strong advantage.
• Familiarity with BI tools such as Power BI or Tableau and Agile delivery environments is a plus.
• Relevant cloud or data architecture certifications are considered beneficial.

• Fully remote position within the United States.
• Opportunity to lead enterprise-scale data architecture and modernization initiatives.
• High-impact role influencing data strategy, governance, and platform design across the organization.
• Competitive compensation aligned with experience and market standards.
• Exposure to modern cloud data platforms and advanced analytics ecosystems.
• Collaborative environment with strong focus on technical excellence and innovation.
• Career growth opportunities in a senior technical leadership capacity.
• Inclusive and diverse workplace culture that values different perspectives and experiences.