Bring your data leadership expertise to a high-impact role supporting enterprise data modernization, governance, and platform transformation. This position offers the opportunity to guide a multidisciplinary team and help shape the future of data architecture, quality, and strategy across a complex environment.

Responsibilities

• Lead, mentor, and develop a team of Data Architects, Data Analysts, Business Analysts, logical DBAs, and Project Managers.
• Set clear goals, track performance, and support career growth and development across the team.
• Build a collaborative, accountable team culture that encourages innovation and continuous improvement.
• Oversee workload balancing, capacity planning, and hiring needs to support team effectiveness.
• Establish and enforce data governance practices, database usage standards, and architecture guidelines.
• Improve data quality, accessibility, and master data management across enterprise data stores.
• Maintain data dictionaries, metadata standards, lineage, and retention practices.
• Partner with technology leaders, product teams, and enterprise architects to align data strategy with business needs.
• Support enterprise data platform transformation efforts, including Data Lake and Lakehouse initiatives.
• Work with architecture and engineering teams on migration planning from legacy systems to modern platforms.
• Help define best practices for data ingestion, transformation, streaming, and storage.
• Communicate progress, risks, and outcomes to senior leadership and key stakeholders.
• Manage timelines, dependencies, and delivery risks across multiple concurrent initiatives.

Skills

• 10+ years of experience in data management, data architecture, and data governance.
• 7+ years leading cross-functional teams with responsibilities across architecture, analysis, project delivery, DBA support, business analysis, and master data management.
• Strong background managing enterprise database platforms in a fast-paced environment.
• Experience launching or advancing a master data management program.
• Proven ability to support production stability while balancing multiple priorities and initiatives.
• Strong leadership, coaching, and team-building skills.
• Excellent communication and stakeholder management abilities.
• Ability to balance legacy system support with modernization and transformation goals.
• Problem-solving mindset with a data-driven approach to decision-making.

Preferred Skills

• Experience with modern data platforms and Data Lake or Lakehouse concepts such as Databricks, Snowflake, or Azure Synapse.
• Familiarity with data virtualization tools such as Denodo.
• Understanding of Medallion Architecture or similar layered data frameworks.
• Experience with real-time or streaming technologies such as Kafka or Spark Streaming.
• Exposure to DevOps or DataOps practices.
• Industry certifications in cloud or data platforms.

Horizontal is committed to fostering a diverse, equitable, and inclusive workplace where different perspectives are valued and respected. We welcome candidates from all backgrounds who bring the skills, experience, and mindset to help drive meaningful data transformation.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.