Data Practice Lead

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and oversee the implementation of scalable data solutions across contemporary cloud data platforms, such as Databricks and Snowflake, utilizing best-practice patterns and reference architectures.

• Spearhead pre-sales and business development initiatives by evaluating current environments, pinpointing client challenges, comparing platform alternatives, and substantiating ROI for customized data solutions.

• Counsel client executives (CTOs, CDOs) on data strategy, platform selection, modernization roadmaps, and enterprise-scale architectural decisions.

• Act as the architectural authority during project delivery, ensuring adherence to governance, quality standards, and alignment with the original scope, while serving as an escalation point for delivery teams.

• Collaborate with cross-functional teams, including engineering, BI, platform, integration, and analytics, to foster innovation and facilitate data democratization.

• Mentor and guide data practitioners, leading technical discussions and execution of deliverables without direct management responsibilities.

• Keep abreast of platform advancements and emerging capabilities within the cloud data ecosystem, focusing on innovations in analytics, governance, and AI tooling.

⛳️ Requirements

• Over 10 years of experience in data engineering, data architecture, solution architecture, or similar fields.

• Robust hands-on experience with modern cloud data platforms, particularly Databricks and/or Snowflake.

• Demonstrated capability in supporting pre-sales efforts, including conducting discovery sessions, technical assessments, demonstrations, and proposal creation.

• Profound knowledge of enterprise data architecture, data governance frameworks, and scalable solution design.

• Experience in leading or assisting with platform migrations from on-premises or legacy systems to contemporary cloud data solutions.

• Ability to practically evaluate data platforms (e.g., Databricks vs. Snowflake) and clearly communicate trade-offs, cost considerations, and ROI implications.

• Excellent client-facing communication skills, with the ability to translate complex technical ideas into understandable business outcomes.

🏝️ Benefits

• Flexible work arrangements