Senior Data Analytics Engineer
Há 12 horas
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We're looking for a skilled and collaborative Analytics Engineer to join our data team. In this role, you'll focus on building and maintaining scalable, reliable, and well-documented data models using dbt, orchestrating workflows with Airflow, and leveraging Snowflake as our primary data warehouse.
You'll partner closely with data engineers, BI analysts, and business stakeholders to understand data pipelines, business processes, and analytical needs—translating them into clean, trusted models that empower data-driven decisions across the company.
What you'll doData modeling & transformation
Design, build, and maintain modular, production-ready dbt models that serve as the foundation for BI and analytics use cases.
Implement and enforce best practices for naming conventions, testing, documentation, and version control in dbt.
Optimize transformations for performance and scalability in Snowflake.
Orchestration & workflow management
Use Airflow to schedule, monitor, and orchestrate dbt runs and other data workflows.
Collaborate with data engineering to ensure seamless integration between ingestion pipelines and modeling layers.
Data quality & testing
Develop robust data tests within dbt to ensure accuracy, consistency, and reliability across models.
Partner with data engineers to identify and resolve data quality issues, ensuring high-trust datasets for downstream users.
Cross-functional collaboration
Work closely with BI and analytics teams to understand reporting requirements and design models that align with business logic and key metrics.
Collaborate with business stakeholders to clarify data definitions, metric calculations, and ensure models meet analytical needs.
Communicate findings and technical concepts clearly to non-technical audiences.
Continuous improvement
Contribute to the evolution of our data architecture, focusing on reusability, maintainability, and automation.
Stay current with best practices in analytics engineering, dbt, and Snowflake performance optimization.
Proven experience as an Analytics Engineer, Data Engineer, or BI Engineer with a focus on data modeling and transformation.
Strong proficiency with dbt (core or Cloud), including model design, testing, and documentation.
Hands-on experience with Airflow (or a similar orchestration tool) for scheduling and dependency management.
Deep understanding of SQL and Snowflake architecture, including query optimization and warehouse performance tuning.
Solid grasp of data warehousing concepts, data quality management, and modeling best practices (e.g., star/snowflake schemas).
Excellent communication and collaboration skills—able to bridge technical work with business needs.
Experience supporting BI tools (e.g., Tableau, Looker, Power BI) and understanding how data models power dashboards.
Familiarity with Git-based workflows for version control and CI/CD pipelines.
Exposure to ad tech or marketing data ecosystems (e.g., Google Ad Manager).
Experience working in fast-paced, data-driven environments where data sources evolve rapidly.
Snowflake for data warehousing
dbt for data modeling and transformation
Airflow for orchestration and scheduling
Tableau for BI and reporting (consumers of modeled data)
Version control with Git/GitHub
When you join Solvd, you'll…
Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
Be part of a global team with equal opportunities for collaboration across continents and cultures.
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry's sharpest minds. Apply today and let's innovate together.
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