Tech Lead – Technology

Job not on LinkedIn

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🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DB

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

Software • Technology • Consulting

DB is a company that specializes in assisting organizations with digital transformation, focusing on understanding problems and finding optimal solutions. They offer a range of services including Agile design and development, digital innovation, software development, sourcing, and consulting. With a dedicated team, DB emphasizes quality in software engineering and provides tailored technological solutions to meet client demands effectively. Additionally, they promote innovation through their DBLab initiative, ensuring that their approaches are applicable, replicable, and scalable for their clients' success.

📋 Description

• Lead data squads from a technical perspective, ensuring the quality, scalability and governance of delivered solutions • Act as a technical authority for the design and implementation of solutions on modern data platforms • Support the definition and evolution of data architecture, including ingestion, transformation and consumption layers (Medallion Architecture) • Drive technical decisions on data modeling, ETL/ELT pipelines and storage strategies in cloud environments • Establish and promote data engineering best practices, code standards and technical review processes • Collaborate with Product Owners, business stakeholders and BI teams • Develop and mentor data engineers, architects and analysts from a technical standpoint • Support technical hiring processes, including creating assessments and conducting interviews • Contribute to technical roadmaps and the prioritization of technical debt • Monitor and optimize data platform costs, balancing performance, scalability and financial efficiency (FinOps) • Support pre-sales activities, including technical discovery, effort estimation, POC/pilot design and technical proposal defense

🎯 Requirements

• Strong experience in Data Engineering with participation in large-scale projects • Proven experience with cloud platforms (Azure, AWS or GCP — preferably Azure) • Proficiency in Python and SQL for building pipelines, transformations and automations • Experience with pipeline orchestration tools (Apache Airflow, Azure Data Factory or similar) • Experience with Databricks and Apache Spark/PySpark and familiarity with Workflows, Lakeflow Spark Declarative Pipelines (ex DLT), Lakeflow Connect and Declarative Automation Bundles • Knowledge of dimensional modeling and Data Warehouse/Data Lakehouse design • Experience with BI tools and semantic layers (Power BI, Azure Analysis Services, Tableau or similar) • Ability to communicate technical concepts to non-technical stakeholders • Knowledge of Unity Catalog and data governance • Prior experience as a technical lead for teams or data projects • Familiarity with the Medallion architecture (Bronze, Silver, Gold) • Knowledge of DataOps practices and CI/CD applied to data and analytical models • Experience with multi-platform integrations and multiple formats (ERP, databases, APIs) — nice to have • Experience with AI/ML (MLflow, Databricks Mosaic AI or Azure Machine Learning) — nice to have • Cloud or Databricks certifications — nice to have • Experience in consulting environments or multi-client projects — nice to have

🏖️ Benefits

• iFood voucher (meal allowance) • Home office allowance • Health insurance • Dental plan • Birthday day off • Life insurance • Extended maternity and paternity leave • Educational partnerships • TotalPass partnership — health and wellness • Clude Saúde partnership • Reimbursement programs • Flexible working hours • Dress code: be yourself.