Lead assessment and discovery processes to understand clients’ pain points, context, maturity and opportunities for data and analytics evolution.
Translate business needs into Data Governance, Data Engineering, Analytics, BI and Artificial Intelligence solutions, always looking beyond what the client explicitly states.
Act as a bridge between technical teams and the business, ensuring alignment, shared understanding and clarity.
Design and facilitate workshops, deep-dive sessions and interactive meetings with clients, fostering discussions on architecture, governance, use cases and strategic AI adoption.
Design scalable, modern data architectures aligned with Somativa’s solution portfolio.
Prepare technical and functional proposals that connect clients’ real pain points to Somativa’s data, analytics and AI offerings.
Detail methodological approaches, scope, project phases, deliverables and success criteria.
Estimate effort and key project risks, supporting team formation and scheduling alongside project and commercial areas.
Support the commercial team in meetings, presentations, demonstrations and value narratives for prospects and clients.
Serve as the technical focal point for business opportunities, in partnership with the commercial and projects teams.
Actively contribute to the evolution of Somativa’s product and service portfolio by bringing field feedback, trends and best practices.
Support the creation and evolution of frameworks, templates, methodologies and best practices for data architecture and solutions.
Serve as an internal reference for innovation, inspiring the team to explore new technologies, tools, methodologies, trends and differentiation opportunities.
Document learnings, experiments and innovative projects, turning them into accelerators, best practices and new Somativa offerings.
Perform structured knowledge and context handovers to project teams (engineering, data science, BI, AI).
Ensure objectives, scope, defined architecture, assumptions and constraints are clear to the project team.
Support the initial stages of execution when necessary, helping to maintain coherence between proposal and delivery.
Continuously verify that Somativa’s quality standards are present, with determination and a commitment to continuous improvement and excellence.
Requirements
Practical experience in data projects across governance, engineering, data science, BI/Analytics and data architecture.
Experience designing data architectures in cloud (AWS, Azure, GCP) and on-premises environments, including concepts such as data lake, data warehouse and lakehouse.
Proficiency in SQL and strong knowledge of data modeling (relational, dimensional and analytical).
Familiarity with orchestration, ingestion and data transformation tools (for example: Python, Spark, Dremio, Athena, BigQuery, Airflow, Airbyte, Data Factory, Fabric, Snowflake, Synapse, Databricks, Glue, dbt, Talend, Apache Hop or similar).
Experience with data visualization and BI tools (for example: Tableau, Power BI, Metabase, Apache Superset or equivalents).
Understanding of data governance concepts (quality, catalog, lineage, security, LGPD, roles and responsibilities).
Ability to lead conversations with executives and business stakeholders, structuring problems and proposing solution paths.
Ability to organize information in clear documents: proposals, architecture visions, roadmaps and presentations.
Collaborative profile, systems thinking, logical reasoning and a focus on delivering business value.
Tech Stack
Airflow
Apache
AWS
Azure
BigQuery
Google Cloud Platform
Python
Spark
SQL
Tableau
Benefits
English classes
Gympass
Meals at a partner restaurant when working on-site