Big Data Solution Architect- KPMG, Dubai

 Big Data Solution Architect- KPMG, Dubai

Responsibilities:

Facilitate the establishment and execution of the roadmap and vision for information delivery and management, including the enterprise data warehouse, big data, BI & analytics, content management and data management

Propose and endorse the target data architecture and ensure its implementation and upkeep

Play a critical role in tools selection, implementation partner selection and on-boarding of key technical skills to ensure success of technical sub-initiatives including data quality and Master data management, ODS and DWH development, Data Marts, BI and Advanced analytics and legacy data migration to EDW

Lead Business Analysts, Data Engineers and Data Scientists to architect and deliver the solutions that fulfill the Business information needs and align with the information vision and strategy

Apply business strategy while driving technology strategy, balancing short term and long term needs to ensure that the architecture can scale and evolve accordingly

Engage an end-to-end approach by connecting all the pieces of data to deliver the data while leveraging all available assets

Provide advice, guidance and direction to carry out major plans and procedures to ensure schedule attainment, and performance and budget targets are met.

Qualifications:

Minimum 8 years of experience in enterprise data architecture, integration and analytics, with a proven track record of advising clients and delivering large projects in strategy, design and implementation of Data Warehouse, Big Data and Analytics solutions

Minimum 5 years leading a team including data engineers, data scientists and BI Developers.

Bachelor’s degree in computer science or relevant field from an accredited college or university; Master’s degree from an accredited college or university preferred

Strong technical experience in the following:

Data Warehousing, BI and Big data Stack and solutions, including cloud technologies.

Data architecture, including data model design and implementation (incl. relational, dimensional, No-SQL)

Data Integration design and implementation (e.g. ETL, messaging, replication and APIs)

Deep hands-on experience with the following tools and technologies is preferred: Cloudera Distribution Hadoop, HP Vertica (Data Warehouse), Talend/Spark (Data Integration), Qlik (Reporting), Virtualization (Denodo) and Machine Learning (Python).

Apply Here:

https://elzw.fa.em8.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/394

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