Remote Head of Data Platforms Practice

Description

Our client, founded in Poland in 2005, is a leading consulting and technology company specializing in data analysis, business intelligence (BI), and Big Data solutions. The company is dedicated to transforming data into valuable information that drives strategic decision-making, enabling organizations to optimize their operations and gain a competitive edge in the market.

With a solid reputation built on an innovative approach and the high quality of its services, our client has collaborated with some of the most recognized brands worldwide. Their team of experts employs cutting-edge technologies, including artificial intelligence and machine learning, to solve complex problems and improve operational efficiency for their clients. This ability to handle large volumes of data and extract actionable insights positions our client as a strategic and valuable partner across various sectors.

In addition to their technical expertise, our client is distinguished by a corporate culture focused on innovation and continuous development. The company invests significantly in staff training and the research and development of new technologies, ensuring they are always at the forefront of emerging technological trends. This proactive approach allows our client to anticipate market needs and offer solutions that address current challenges and prepare their clients for the future.

We are currently searching for a Head of Data Platforms Practice:

Responsibilities:

• Develop and execute a long-term strategy for the Data Platform Practice, expanding capabilities and service offerings.
• Lead thought leadership efforts through articles, white papers, public presentations, and webinars.
• Drive innovation by generating, adopting, and implementing new ideas and accelerators.
• Advise senior client executives on data governance, processing, and management, becoming their trusted advisor.
• Lead technology assessments to help clients transition from current capabilities to target maturity, creating technology roadmaps and implementation plans.
• Collaborate closely with sales and account management to meet the needs of new and existing customers.
• Provide technical pre-sales services, assisting in creating proposals, SOWs, and project scoping.
• Continuously improve consulting services by gathering lessons learned from delivery engagements.
• Enable knowledge and skills development in Delivery teams.
• Collaborate with technology partners to evolve frameworks and best practices.
• Lead, mentor, and coach data platform technology consultants.
• Maintain cutting-edge expertise by attending conferences, gaining certifications, and participating in external advisor interactions.
• Assess and apply the latest developments in data platform technologies.

Requirements:

• B.Tech in Computer Science, Computer Engineering, or related field.
• 15+ years of experience in data management, including data architecture, platform solution architecture, data modeling, and data security.
• 7+ years of experience in a consulting role, leading Data Platform development initiatives.
• Expertise in GCP-based data ecosystems and certifications (e.g., GCP Certified Professional Cloud Architect, GCP Certified Professional Data Engineer).
• Experience with additional cloud platforms (e.g., AWS, Azure).
• Deep expertise in modern data architectures (Data Fabric, Data Mesh, Data Lakehouse).
• Proven track record with Big Data ecosystems and tools for data cataloging, quality, and observability.
• Strong experience working with directors and C-level stakeholders.
• Hands-on experience in customer workshops and assessments for data platform modernization.
• In-depth knowledge of modern technology trends, governance, and data stacks.
• Willingness to travel (0-30%).

Desired:

• Certifications in data management tools (e.g., Alation, Collibra, Talend, Databricks).
• Experience in data governance models, microservices architecture, and AI in data management.
• Expertise in master and reference data management, real-time data integration, and data security regulations.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Fully remote.

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