Data Practice Director at Jobgether

, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

0.0

Posted On

18 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud Data Consulting, AWS, Stakeholder Management, People Management, Data Architecture, Resource Planning, Delivery Oversight, Strategic Planning, Client Relationship Management, Databricks, Snowflake, ETL/ELT Patterns, Data Modeling, Data Governance, MLOps

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Practice Director in Mexico. This senior leadership role sits at the intersection of strategy, delivery, and people management within a fast-growing cloud data consulting environment. You will be responsible for driving the execution of a data engineering practice while ensuring consistent delivery excellence across multiple client engagements. Acting as a key link between leadership vision and operational execution, you will translate strategy into actionable plans, team objectives, and measurable outcomes. The role combines hands-on engagement oversight with high-level stakeholder influence across clients and internal teams. You will lead a distributed group of data professionals, fostering technical excellence, accountability, and continuous improvement. This is a highly visible position with direct impact on client success, practice growth, and organizational capability building in a dynamic, cloud-native ecosystem. \n Accountabilities: Lead end-to-end delivery oversight across multiple data engineering and analytics engagements, ensuring quality, timeliness, budget adherence, and client satisfaction. Drive operational excellence within the practice, including resource planning, utilization tracking, margin management, and delivery health monitoring. Establish and enforce scalable delivery standards, frameworks, and best practices to ensure consistency across teams and projects. Act as escalation point for complex delivery challenges, resolving technical, scope, or client-related issues in collaboration with delivery leads. Translate strategic priorities into execution plans, quarterly objectives, and measurable OKRs in partnership with practice leadership. Lead, mentor, and develop a distributed team of data engineers, architects, and analytics professionals. Oversee hiring, onboarding, performance management, and succession planning in collaboration with recruiting and workforce planning teams. Build and maintain strong client relationships, serving as a trusted advisor at senior stakeholder levels. Support business development activities including solutioning, proposals, and expansion opportunities within existing accounts. Contribute to practice growth initiatives, thought leadership, and the development of reusable assets and accelerators. Requirements: 12+ years of experience in consulting or professional services with a strong focus on data engineering, analytics, or data platforms. Proven experience managing and scaling teams of 20+ data professionals in a client delivery environment. Strong track record of delivering complex data solutions on AWS, including data lakes, lakehouse architectures, streaming, and analytics workloads. Experience managing multiple concurrent client engagements with responsibility for both delivery performance and financial outcomes. Solid hands-on background in data architecture or engineering with the ability to engage credibly in technical discussions. Strong leadership skills with demonstrated ability to coach, develop talent, and build high-performing teams across geographies. Experience influencing senior stakeholders (Director, VP, C-level) in consulting or advisory contexts. Deep knowledge of AWS data services (e.g., Redshift, Glue, EMR, Kinesis, Lake Formation, Athena). Familiarity with modern data platforms such as Databricks and Snowflake and their integration into cloud architectures. Strong understanding of data engineering concepts including data modeling, governance, ETL/ELT patterns, and data quality. Exposure to MLOps and data science workflows is a plus. Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field (Master’s or MBA is a plus). Relevant AWS certifications are an advantage. Strong communication skills with the ability to simplify complex technical concepts for diverse audiences. Strategic mindset combined with strong execution orientation and client-first approach. Benefits: 100% remote work flexibility Medical insurance for you and eligible dependents Competitive phantom equity program Generous paid holidays and flexible PTO Paid certifications and professional exams Annual learning and development stipend Peer recognition and bonus programs Home office and equipment support stipend Access to modern tools and a high-performance work environment Global, collaborative team culture focused on growth and inclusion Please note: visa sponsorship is not available now or in the future \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Lead the execution of a data engineering practice by overseeing end-to-end delivery across multiple client engagements. Translate strategic priorities into actionable plans while mentoring a distributed team of data professionals.