Data Architect

Posted 27 April 2023
Job type Permanent

Company's Benefits

  • Flexible Working Arrangements

    Flexible Working Arrangements

  • Equal Pay Initiatives

    Equal Pay Initiatives

  • Mentorship Program

    Mentorship Program

  • Leadership Development Program

    Leadership Development Program

  • Paid Parental Leave

    Paid Parental Leave

  • Return to Work Policy

    Return to Work Policy

  • Coaching Program

    Coaching Program

  • Raise Numbers Of Women In Leadership

    Raise Numbers Of Women In Leadership

  • Internal Women's Networking Group

    Internal Women's Networking Group

Job Description

Job Description

As a Data Engineering Architect, you will use comprehensive modern data engineering techniques and methods with Advanced Analytics to support business decisions for the client. You can collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources, patterns, insights, and trends to decision-makers.

Your goal is to support using data-driven insights to help our clients achieve business outcomes and objectives. In this role, you will collect, aggregate, store, and reconcile data supporting Client business decisions. You will help design and build data pipelines, data streams, reporting tools, information dashboards, data service APIs, data generators, and other end-user information portals and insight tools. You will be a critical part of the data supply chain, ensuring stakeholders can access and manipulate data for routine and ad hoc analysis to drive business outcomes using Advanced Analytics.

Key Role Responsibilities:

Day-to-day you will:

  • Translate business requirements to technical solutions leveraging strong business acumen. 

  • Analyze current business practices, processes, and procedures, as well as identify future business opportunities for leveraging Cloud Data & Analytics PaaS Services

  • Support the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments. 

  • Support the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments.

  • Delivery of architectures for transformations and modernizations of enterprise data solutions using Azure or other cloud data technologies

  • Design and Build Modern Data Pipelines and Data Streams.

  • Design and Build Data Service APIs.

  • Responsible for designing and providing technical direction to data engineers, data analysts, data integration developers, and database administrators.

  • Responsible for the quality assurance of all architecture and design deliverables (e.g., technical documents)

  • Responsible for preparing High-Level Design (HLD) document.

  • Manage, highlight, and resolve any design integration risks/issues with relevant business and stakeholder.

  • Develop and maintain data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics.

  • Expose data to end users using PowerBI, Azure API Apps or any other modern visualization platform or experience.

  • Implement effective metrics and monitoring processes.

Skill & Capability Requirements:

  • Minimum 12 years experience with 4+ years of experience working with large complex enterprises, architecting & implementing large-scale data projects through Azure or other cloud Data services

  • Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, data migrations, and technology management. required

  • Collaboration and Communication. Known for driving decisions collaboratively, resolving conflicts, and ensuring follow-through with exceptional verbal and written communication skills. 

  • Experienced in building modern cloud-based data architectures, like building Lakehouse architecture using Databricks, and technologies such as Data Lake, Delta Lake, and Data Lakehouse e.g., Azure Data Lake Gen 2, Azure Delta Lake

  • Experienced in Dev-Ops processes (including CI/CD) and Infrastructure as code fundamentals.

  • Ability to solve business problems using one or more Data and Analytics services in combination with building data pipelines, data streams, and system integration.

  • Expert knowledge of Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL, and Data Bricks is plus.

  • Knowledge of Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Stream Analytics & Python is a plus.

  • Experience in Data Transformation using ETL/ELT tools such as AWS Glue, Factory, Talend, EAI

  • Experience in database and data warehousing with SQL, NoSQL & RDBMS such as MS SQL, AWS DynamoDB, etc.

  • Working experience with Visual Studio, PowerShell Scripting, and ARM templates

  • Azure certifications (AZ-900, AZ-200, and 201), Databricks certification, DevOps certifications