Lead Data Platform Architect – AWS

Job not on LinkedIn

🔥 1 hour ago

🇮🇪 Ireland – Remote

⏳ Contract/Temporary

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 18%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 21 days.
• No salary listed.

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Interval Group

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📣 Marketing

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Interval Group is a boutique consulting and recruitment firm specializing in providing expert resources to help industry-leading organizations achieve their goals. With a global talent network of over 20 million professionals, Interval Group focuses on hiring exceptional talent for various roles including permanent, contract, and freelance positions. Their team of specialists is chosen for their expertise in areas such as technology, strategy, education, financial services, and corporate functions, ensuring the right professionals deliver effective solutions tailored to client needs. Founded by seasoned consultants, Interval Group emphasizes quality over size, aiming to be the best in their field.

📋 Description

• Define and implement AWS Data Lake, Lakehouse, and Data Warehouse architectures • Make technical architecture decisions and contribute to hands-on development using AWS Glue, Athena, Redshift, EMR, and Kinesis • Develop batch and streaming architectures with Spark, Kafka, and Iceberg or Delta Lake • Build ontologies, semantic layers, and data integration concepts • Orchestrate workflows with Airflow/MWAA, Step Functions, and dbt • Implement data governance, IAM, KMS, and GDPR requirements • Develop infrastructure and proof-of-concept solutions using Terraform, CI/CD, and DataOps • Provide technical leadership, conduct code reviews, and mentor Data Engineers

🎯 Requirements

• Several years of experience designing and implementing AWS data platforms • Strong practical knowledge of AWS Analytics Services and Lakehouse architectures • Hands-on experience with data pipelines, integrations, and proof-of-concept solutions • Experience with Spark, Kafka, and modern data processing technologies • Knowledge of semantic data modeling and data architecture • Knowledge of Terraform, CI/CD, and DataOps • Experience in technical leadership and engineering delivery • Excellent English skills • AWS certification is desirable • German language skills are desirable

🏖️ Benefits

• Flexible working hours • Freedom to choose projects independently • Access to exciting projects across various industries through the platform • Support from a dedicated team for any questions • Independent working environment • Access to a strong professional network • Opportunities for professional development

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