
Data Platform Architect
3 days ago
Key Responsibilities:
- Develop and implement scalable data architectures that meet business objectives.
- Lead the implementation of data solutions on various cloud platforms (AWS, Azure, and GCP).
- Define and enforce data governance, quality, and security standards.
- Collaborate with cross-functional teams to understand needs and translate them into technical solutions.
- Evaluate new technologies and tools to improve data infrastructure and practices.
- Create detailed documentation of data architecture, data flows, and processes.
- Provide technical leadership and mentorship to junior team members.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Overall 10-12 years of experience with 3+ years of experience in data architecture or a similar role.
- Proven expertise in designing and implementing data solutions on at least one major cloud platform (AWS, Azure, or GCP).
- Solid understanding of cloud-native data services such as AWS: Redshift, S3, Glue, Athena, and EMR; Azure: Synapse Analytics, Data Lake, Data Factory, and Databricks; GCP: BigQuery, Cloud Storage, Dataflow, and Dataproc.
- Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing concepts.
- Strong knowledge of SQL, ETL/ELT processes, and data modeling techniques.
Preferred Skills:
- Experience with DevOps practices and tools (e.g., CI/CD pipelines, Terraform, Docker, Kubernetes).
- Knowledge of data governance tools and practices
Job Summary:
This is a key role where you will be responsible for building secure and scalable data platforms while mentoring our engineering teams.
What We Offer:
A dynamic work environment where you can grow and develop your skills.
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