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Data and Analytics Architect

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🏛️ Architect

Where this job comes from

Posted on Elfonze Technologies's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of Elfonze Technologies

Elfonze Technologies

201 - 500 employees

Founded 2020

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Elfonze Technologies is a technology services and solutions company that builds and manages enterprise IT systems, specializing in Oracle ERP, supply chain and logistics platforms, and cloud-native infrastructure (IaaS/PaaS). The company provides digital transformation, enterprise applications, master data management, AI-enabled platforms, and niche supply chain planning products and services for B2B customers, along with advisory and build-operate-transfer engagements.

📋 Description

• Design observability architecture covering logs, metrics and traces • Define collection of application events and infrastructure events • Design log ingestion, retention and analysis • Design data pipelines and ETL for batch and streaming workloads • Design data models and data lake, data warehouse and lakehouse architectures • Design a greenfield data lake from the ground up • Define ingestion and deduplication for structured and unstructured data • Design the technical approach for application data and user data moves • Design enterprise master data handling • Design analytics, custom dashboards and reporting with Power BI or Tableau • Define data security, access control, lineage and quality controls • Produce high-level and low-level designs and review them with client architects • Own the target-state data platform and technical approach for separating and moving application, user and enterprise data • Build new platforms from the ground up where needed for the separated entity

🎯 Requirements

• 10+ years of relevant experience in data and analytics architecture • Strong experience in observability: logs, metrics and traces for applications and infrastructure • Experience with log ingestion, retention and analysis at scale • Experience building data pipelines, ETL and ELT • Strong data modelling skills • 3 to 5 years of working experience with data lakes and data warehouses, on at least two vendors • Experience with data lakehouse architectures • Experience handling structured and unstructured data • Experience with batch processing and batch operations • Experience with ingestion and deduplication • Experience with data migration, including application data and user data • Experience with enterprise master data management • Experience building a greenfield data lake from the ground up • Experience with at least two analytics tools, such as Power BI and Tableau, including custom dashboards • Knowledge of data governance: cataloguing, lineage, quality, masking and access control • Knowledge of orchestration and streaming tools such as Azure Data Factory, Airflow or Kafka • Strong SQL skills and working knowledge of Python • Experience with at least two cloud providers (Azure and AWS) • Exposure to at least two OEMs or two vendors in each technology area • Strong communication skills, with prior experience working with UK and EU clients • Willingness to travel as required and to work in the client time zone • Prior infrastructure background alongside the specialism above • Prior experience in IT consolidations, mergers, demergers and carve-outs (mandatory) • Relevant professional certifications strongly recommended

🏖️ Benefits

• Remote work arrangement • Willingness to travel as required

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