Role – Data Architect with ETRM skills

Data Architect with ETRM (Energy, Trading and Risk Management)

Look from oil and gas company background will be a good fit.

Role Description : Data Architect – 10 to 15 years of experience

The key responsibilities will be

· Develop data architecture and lead the delivery of end-to-end data, integration, reporting solution for Utilities Systems cloud and hybrid hosting

· Analyze business requirements, conduct data & integration impact analysis.

· Develop enterprise data landscape, conceptual data model and logical data model

· Understanding of data requirements for ETRM systems and associated data structures (Risk, Pricing, Contracts etc)

· Develop physical data modelling and database designs.

· Design databases to meet and exceed different non fictional requirements – High availability, zero data loss, cyber security, high resilience, high performance, structured and un-structured data, time series data with resolution of as low as 10 ms, huge volumetric.

· Design data migration, data quality solution.

· Support Business Analysts and Solutions architects to design the systems.

· Conduct Database activities such as database creation, management, testing, programming on database, data engineering, reverse data engineering, reporting, analytics, data migration etc based on project requirement

· Lead data engineers/development to implement the solutions as per design

Mandatory data skills

• Data and Integration Architecture
• Expertise in one or many of below
• Oracle/MySQL database design and development
• Mongodb /Casandra design and development
• Azure Data Architecture
• Excellent stakeholder communication skills
• Ability to lead and guide data team in the project/program and get the work done.
• Data Landscape ( As-Is and To-Be ) and Data Flows
• Conceptual Data Model and Canonical Modelling
• Logical Data Model and Physical Data Model
• Data Definition and Integration specification
• DDL , DML , DCL , TCL concepts and scripting
• Data engineering and reverse data engineering
• Master Data and Data Management
• Data Entity to Application mapping - Master , Create , Update , Read & Delete
• Requirements analysis , data impact analysis , integration impact analysis
• Data Entity and Attribute Definition Data constraints, validation rules , consistency and defaulting rules Tools Sparx EA , SQL developer , Toad etc.
• Database programming - PL/SQL and similar ones
• Application of Data science for energy/electricity forecasting
• Experience in architecting Python, R , mongo db, oracle db based forecasting solution hosted in cloud.
• Experience/knowledge on Talend , ADF and SOA based data integration

Experience in implementation of reporting and visualization solution using Power BI