
Chief Data Strategist
2 semanas atrás
We are seeking a visionary Data Architect to spearhead the development of our data platform.
Key Responsibilities- Design and implement scalable data processing and analytics solutions for both OLTP and Big Data storage, processing, and consumption.
- Analyze and propose optimal technology and platform choices while articulating their pros and cons.
- Develop architecture blueprints, patterns, accelerators, and interoperability standards.
- Establish robust data security and data privacy protocols adhering to GDPR and HR domain requirements.
- Pioneer the evolution of data architecture and own product data models.
- Leverage architectural expertise to drive discussions and design workshops with internal stakeholders.
- Create comprehensive technical documentation, data models, and diagrams.
About You
- You possess a bachelor's degree in STEM or equivalent work experience.
- You have more than 10+ years of engineering experience, 5+ years of data engineering experience, 5+ years as data architect.
- You have led the definition and evolution of numerous OLTP and data platform architectures.
- You have experience working on data mining/analytics/machine learning projects and understand the language of both data scientists, data engineers, and developers.
- You have an excellent grasp of data modeling techniques (relational, star, snowflake, NoSQL) including API payload design (XML/JSON) and events/messaging.
- You have designed end-to-end, near real-time ETL/ELT pipelines based on Spark.
- You are comfortable working in agile environments following CI/CD best practices.
- You have planned data governance and security practices.
- You have a good understanding of classical BI and novel analytics technologies and toolsets.
- You have experience with Microsoft Azure (or AWS, GCP) platform.
- You have prior engineering experience using modern programming languages (Python, Scala, Java, etc.).
- Prior experience with designing on-demand analytics systems and ad-hoc reporting is beneficial.
- Prior exposure to MongoDB, Azure SQL, and Databricks is advantageous.
What We Value
- You can create effective data architecture designs.
- You are willing to mentor data engineering teams, developers, and data architects.
- You possess excellent verbal and written communication skills.
- You have a passion for technology and learning/teaching.
- You possess analytical skills and a problem-solving attitude.
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