Senior Data Engineer Data Architect
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Job Summary
Senior Data Engineer / Data Architect
We are looking for a Senior Data Engineer / Data Architect to lead enterprise Data & Analytics architecture and delivery.
The role combines hands-on technical expertise solution architecture stakeholder management and technical leadership. You will work closely with senior stakeholders business teams and engineering teams to design and deliver scalable data solutions.
- Azure
- Azure Databricks
- Azure Synapse
- Azure Data Factory
- Azure Data Lake
- HDInsight
- SQL Server
- SSIS
- Spark
- Python
- SQL
- Azure DevOps
- Azure Automation
- CI/CD
- Data Modelling
- Data Quality & Governance
- Design and drive end-to-end data architecture
- Develop conceptual logical and physical data models
- Design and review technical solutions
- Drive Azure environment and data platform architecture
- Mentor development and business teams
- Review technology selection and solution architecture
- Participate in pre-sales activities
- Work with senior leadership on technology strategy
- Support technical team recruitment and capability building
- Strong experience delivering enterprise data solutions
- Deep expertise in Azure Data technologies
- Strong Azure Databricks and Synapse experience
- Strong hands-on Spark Python and SQL
- Data architecture and modelling experience
- Leadership and mentoring experience
- Strong client/stakeholder communication
- Pre-sales / solutioning exposure preferred
- Notice period of 30 days or less
Required Skills:
Content Strategy: Develop and execute a comprehensive content strategy aligned with the companys marketing goals. Content Creation: Write and edit high-quality content including blog posts landing pages case studies white papers social media content and email newsletters. SEO Optimization: Use SEO best practices to optimize content and increase organic traffic. Campaigns: Collaborate with the marketing team to create content for demand generation campaigns email marketing and social media. Product Messaging: Translate technical product features into compelling easy-to- understand content for our target audience. Data-Driven Decisions: Track content performance metrics and iterate based on insights. Collaborations: Work with internal teams and external influencers to develop case studies and guest blog posts.
Required Education:
Graduate
