IT Craft is looking for a Senior Data Engineer to join our team.
As a Senior Data Engineer, you will design, build, and optimize enterprise data pipelines and lakehouse solutions aligned with the given data architecture, governance standards, and cloud-first strategy. You will partner with cross-functional teams to deliver secure, scalable, and high-quality data solutions that enable analytics, reporting, and AI-driven capabilities.
Responsibilities:
- Design, develop, and maintain scalable ETL/ELT pipelines across enterprise systems, including ERP, CRM, and operational platforms;
- Build and support cloud-based data lakehouse architecture aligned with medallion layers and governance standards;
- Develop and maintain data models, semantic layers, and curated datasets for analytics and business intelligence;
- Translate business requirements into technical data solutions in collaboration with product, engineering, and business stakeholders;
- Ensure data quality, integrity, and security in alignment with given data governance and compliance standards;
- Optimize SQL queries, data pipelines, and storage performance across AWS and Azure platforms;
- Support data integration initiatives, including Data Lake, D365 ERP, and CRM/AMS platforms;
- Monitor pipeline health, troubleshoot issues, and ensure high availability and reliability of data systems;
- Contribute to the continuous improvement of data architecture, standards, and best practices;
- Support AI and analytics initiatives by enabling high-quality, accessible data for downstream consumption.
Requirements:
Technical Skills and Experience:
- 5+ years of experience in data engineering or data platform development;
- Strong experience designing and building ETL/ELT pipelines in cloud environments;
- Hands-on experience with AWS (S3, Redshift, Glue, DMS) and Azure (Data Factory, SSIS);
- Strong proficiency in SQL and relational database design;
- Solid understanding of data warehousing, data lakes, and lakehouse architecture;
- Experience with structured, semi-structured, and unstructured data processing;
- Experience with data modeling, data quality, and performance optimization;
- Experience with Git, Azure DevOps, and CI/CD practices;
- Strong analytical, problem-solving, and communication skills;
- At least an Upper-Intermediate level of spoken and written English.
Non-Technical Skills:
- Build positive working relationships across multiple IT disciplines and staff levels;
- Collaborate effectively and welcome feedback on ongoing projects;
- Respond to business issues with an appropriate sense of urgency;
- Know when to escalate a problem or seek assistance;
- Be organized, proactive, and self-motivated;
- Communicate clearly, both verbally and in writing;
- Demonstrate strong problem-solving skills and attention to detail;
- Identify and document business and system requirements;
- Thrive in a high-energy, team-focused environment;
- Deliver high-quality results while meeting project schedules.
Nice to Have:
- Experience with Databricks, Spark, or Azure Fabric;
- Experience with Power BI or enterprise reporting platforms;
- Familiarity with AI/ML data enablement and tools (e.g., AWS Bedrock, RAG concepts).
Role Characteristics:
- Technical individual contributor role with ownership of data engineering deliverables;
- Works on complex initiatives aligned with a given enterprise data strategy;
- Collaborates with cross-functional teams across IT, analytics, and business units;
- Contributes to architecture decisions and continuous improvement efforts.