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Über
Overview
The
Data and Analytics Technical Lead
is a senior member of a data engineering team, responsible for designing, building, and delivering scalable data solutions that address complex business and technical challenges. This role blends hands-on technical leadership with architectural oversight, business partnership, and strategic thinking across data platforms and cloud environments.
Key Responsibilities Lead the development and delivery of end-to-end technical data solutions Architect, design, and implement scalable solutions using cloud and big data technologies Translate complex business problems into effective data and analytics solutions Partner with business stakeholders to understand goals and data needs Ingest, process, and analyze large volumes of structured and unstructured data Transform analytical insights into actionable business outcomes Anticipate evolving business requirements and recommend forward-looking technical strategies Author and review architecture, design, and technical documentation to ensure high-quality deliverables Provide technical guidance across data platforms, applications, and engineering teams Drive initiatives from concept through implementation, ensuring alignment with broader objectives Required Qualifications 5+ years of experience in a technical lead, senior engineer, or architect role Strong understanding of cloud technologies (e.g., compute, storage, serverless, APIs, data integration services) Experience working with big data platforms and distributed data processing tools 3-5 years of experience developing solutions using Hadoop ecosystems and NoSQL databases Strong experience with data modeling, data architecture, and business logic design Advanced proficiency in SQL; data architecture experience is a plus Ability to think strategically, understand the big picture, and connect technical solutions to business outcomes Strong communication skills with the ability to explain technical concepts to non-technical stakeholders Preferred Qualifications Experience with data warehousing, data mining, and business intelligence solutions Familiarity with data visualization or statistical tools (e.g., Tableau, R) Experience with automated deployments and source control tools (e.g., Git-based repositories, CI/CD pipelines, infrastructure-as-code frameworks) Core Competencies Strong analytical and problem-solving skills Excellent time management, organizational skills, and attention to detail Clear verbal and written communication skills Ability to lead initiatives, influence decisions, and deliver results in complex environments.
Sprachkenntnisse
- English
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