Can you imagine participating in the transformation of leading national and international organizations? At Deloitte, we are committed to generating impact on society, our clients, and you. About the position We are seeking to hire a Consultant Technology Manager or Senior Manager to strengthen our Data Engineering and Data Architecture team. The selected candidate will play a key role in the practice’s growth, combining business development, client leadership, solution definition, and end-to-end project management for Data & Analytics initiatives. We seek a profile with commercial autonomy, the ability to manage complex initiatives, and experience leading consulting teams in demanding technology environments. You will be responsible for driving data-centric opportunities, building trusted relationships with clients and technology partners, and ensuring the technical, financial, and operational execution of projects under your responsibility. What will be your mission? Contribute to the development of our Data Engineering, Data Architecture, and Cloud Analytics offerings—leading both commercial activities and project execution, as well as team evolution. **The position combines four core dimensions:** Business development and large account management. Technical and financial project management. Support in defining data architectures and solutions. Leadership, development, and growth of teams. What responsibilities will you assume? Business development and commercial leadership Identify, develop, and lead commercial opportunities related to Data Engineering, Cloud Analytics, Data Platforms, and Data Strategy. Manage client relationships, generate new opportunities, and contribute to account opening and expansion. Lead pre-sales processes and respond to complex, large-scale RFPs. Coordinate proposal development, financial estimations, delivery models, and work plans. Deliver commercial and technical presentations to business and technology stakeholders. **Define value propositions and solutions around:** Data Strategy and Data Assessments. Modern Data Platforms and Data Lakes. Cloud, hybrid, and on\-premise data architectures. Business Intelligence and Analytics. DataOps and MLOps. Streaming platforms and real\-time processing. Develop relationships with alliances and technology partners, identifying joint market opportunities. Project management and financial oversight Concurrently manage a portfolio of approximately three to four projects. Ensure delivery within agreed scope, quality, timeline, and budget. Manage risks, dependencies, scheduling, capacity, and team workload. Monitor project financial performance—including revenue, costs, margin, forecasts, and variances. Maintain executive-level client engagement throughout the project lifecycle. Participate in resolving critical situations by facilitating decision\-making and defining action plans. Ensure deliverable quality and solution alignment with client objectives. Technical and solution leadership Lead the definition of data architectures and solutions from perspectives of management, feasibility, value, and commercial positioning. Guide teams in selecting technologies, architectural patterns, and implementation models. Bridge business needs with scalable, secure, and sustainable data engineering and architecture solutions. Participate in architecture reviews, estimations, transition plans, and technology roadmaps. Identify technical and operational risks during pre\-sales and execution phases. Team management and development Lead teams of 10–20 professionals, with capacity to scale to structures exceeding 20\-25 people as the practice grows. Coordinate managers, architects, specialists, consultants, and engineering profiles. Build cohesive teams and develop capabilities—supporting recruitment, training, and professional progression of new talent. Monitor team performance, professional development, resource allocation, and utilization. Promote collaboration, autonomy, and knowledge sharing. Serve as a role model for the team—establishing methodology, best practices, and a culture of technical excellence and client orientation. What profile are we looking for? Professional experience Minimum two years’ prior experience serving as a Manager in Data, Analytics, Cloud, or technology transformation projects. Proven experience in the technical and financial management of consulting projects. Experience managing multiple projects simultaneously—with accountability for timelines, risks, budgets, margins, and teams. Experience in developing and managing large accounts. Experience leading pre\-sales efforts, proposals, and RFP responses. Ability to define and defend data architectures and solutions before technical and executive stakeholders. Experience managing teams of more than 10 people. Experience managing a unit, project portfolio, or account with financial performance accountability is highly valued. Education **University degree in:** Computer Engineering. Telecommunications Engineering. Industrial Engineering. Mathematics. Physics. Other equivalent technical degrees. Languages Fluent English (B2/C1; C1 preferred). You must be able to lead meetings, defend architectures, and author complex technical documentation in English. Ability to participate in proposals, meetings, and presentations in international settings. Technical knowledge We seek a profile with broad vision of data architectures and the ability to make decisions and lead solutions. It is not mandatory to be a hands\-on technical specialist across all technologies—but sufficient knowledge is required to guide proposals, validate architectures, and hold high\-level conversations with clients and technical teams. **Experience in the following areas will be valued:** Data architectures and platforms Analytics architectures in cloud, hybrid, and on\-premise environments. Data Lakes, Data Warehouses, Lakehouse, and Modern Data Platforms. Batch, streaming, and event\-driven processing architectures. Data integration, governance, security, and quality. DataOps, DevOps, and MLOps applied to data platforms. Cloud and analytics platforms **Microsoft Azure:** Azure Data Factory, Azure Data Lake, Synapse Analytics, Azure SQL, Analysis Services, Databricks, Delta Lake, and Power BI. **Google Cloud Platform:** Cloud Storage, Dataproc, Dataflow, BigQuery, and Google Cloud ecosystem visualization tools. **Amazon Web Services:** AWS Lambda, Glue, S3, Redshift, Athena, Redshift Spectrum, and Kinesis. Snowflake. Databricks. Data engineering and integration Apache Kafka, Kafka Connect, and event\-processing technologies. Hadoop ecosystems and platforms such as Cloudera. SQL databases—including Oracle, Microsoft SQL Server, and MySQL. Data integration, transformation, and exploitation tools and patterns. Valuable certifications **Professional certifications in the following areas will be valued:** Microsoft Azure. Google Cloud Platform. Amazon Web Services. Snowflake. Databricks. Service and project management—e.g., ITIL or PMP. Certifications will be considered a positive factor, though real experience in client management, commercial development, team leadership, and project direction will be prioritized. Key competencies Client orientation Ability to understand client priorities, build trusted relationships, and translate business needs into concrete initiatives and solutions. Communication and influence Executive, clear, and persuasive communication. Ability to present and defend proposals before business leaders, CIOs, CDOs, architecture leads, and technical teams. Commercial autonomy Ability to cultivate client relationships, uncover opportunities, mobilize internal teams, and lead commercial defenses with minimal external dependency. Commercial capability Experience leading complex RFPs, articulating value propositions, defining solutions, and coordinating the technical, financial, and operational components of an offering. Leadership Ability to lead multidisciplinary teams, delegate responsibilities, develop talent, and support the growth of the practice. Teamwork Orientation toward building sustainable capability, sharing knowledge, and fostering a community of professionals around data engineering and architecture. Financial management Solidity in budgeting, forecasting, margin analysis, resource estimation, capacity planning, and financial tracking. Initiative and proactivity Ability to anticipate needs, identify opportunities, and make decisions in complex contexts or with incomplete information. Technology and business vision Ability to evaluate a solution not only on its technical suitability but also on its economic viability, scalability, impact, and alignment with strategy
David Muñoz
Indeed · HR
David Muñoz
Indeed · HR
