Data Architect

13 سبتمبر، 2022

0 2 2 دقائق

Data Architect

الوصف الوظيفي

REPORTS DIRECTLY TO: Senior Manager System Architecture

JOB PURPOSE:

Develop and evolve the enterprise-wide data strategy to support the delivery of organizational objectives
Building Data solution aligned with Target Data Architecture and implementation data architecture principles and standards within the bank.
Architecting Customer Event Streaming , data contextualization and real-time analytics platform
Be a key stakeholder and advisor in all the new strategic data initiatives and ensure alignment to the enterprise-wide data strategy

KEY RESPONSIBILITIES:

Ability to build and contribute to data streaming platform
Championing a Data-as-an-Asset mindset across the group; training the team
Provide technical oversight to solution delivery in creating business-driven solutions adhering to the enterprise architecture and data governance standards
Be an active contributor to how the bank evolves Data Governance practices and influence the adoption of data standards
Define and design – Information infrastructure, information life cycle associated to EMI
Support third party data suppliers in developing specifications that are congruent with the Enterprise data architecture
Build a framework of principles to ensure data quality, integrity across the business (including but not limited to Core, Payments, Digital Banking, Customer 360, BI, Data warehouse, external interfaces, etc.)
Ensure that the Data Architecture strategy and roadmap are aligned to the business and technology strategies.
Exploring data sources to understand whether they can add value to products
Design platform that will improve data quality, metadata management, data governance and ensure driven by data principles
Defining best practices and patterns for data ingestion and transformation
Working with the data engineers to ingest, transform, and provision new data and contribute data architecture for digital analytics, real-time event sourcing, data contextualization, and running AI models.

المهارات

SKILLS/COMPETENCIES:

Experience on Big Data platforms and distributed computing (e.g. Hadoop, Map/Reduce, Spark, HBase, CouchDB, Hive)
Experience in Data Quality Assessment (profiling, anomaly detection) and data documentation (schema, dictionaries)
Experience in data architecture, data warehousing and modelling techniques (Relational, ETL/ELT, and OLTP) and consider performance alternatives.
Aware of cloud data platforms and building architecture that leverages the cloud.
Experience of architecting data solutions across hybrid (cloud, on-premise) data platforms.
Design short term resolutions to achieve all goals and prepare data roadmap for management.
Determine procedure to identify and collect all required data, validate process and recommend improvements to corporate data.
Strong analytical and numerical skills are essential, enabling easy interpretation and analysis of large volumes of data.
A comprehensive understanding and experience implementing data solutions – metadata management, ETL, Data Quality, data lacks, big data, advanced analytics, data streaming, data visualization
A comprehensive understanding of the principles of and best practices behind data engineering, and the supporting technologies such as RDBMS, NoSQL, Cache & In-memory stores.
A comprehensive understanding and experience implementing data streaming platform
Experience of mapping key Enterprise data entities to business capabilities and applications A strong knowledge of horizontal data lineage from source to output
Strong analytical and problem-solving skills
Openness to working in agile environments with multiple stakeholders.