Role Description

The Senior Consultant / Data Engineer role is responsible for delivery and implementation of integration solutions. The ideal candidate would also be responsible for developing and delivering cloud solutions to meet today’s high demand in areas such as AI/ML, IoT, advanced analytics and open source, Using the latest technologies, their Solution Architect professionals implement state-of-the-art, scalable, high performance solutions that meet the need of today’s corporate and emerging digital applications.

Key Responsibilities

• Assist in a full technical discovery, identifying pain points, business and technical requirements, “as is” and “to be” scenarios.
• Assess the full technology stack of services required including PaaS (Platform as-a-service), IaaS (Infrastructure as-a-service), SaaS (software as-a-service), operations, management and automation.
• Compare solution alternatives across both technical and business parameters which support the define cost and service requirements.
• Presales activities and providing estimations
• Full end to end consulting – Lead and design client implementations
• Apply Methodology, reusable assets, and previous work experience to deliver consistently high-quality work.
• Deliver written or oral status reports regularly.
• Lead and manage multiple client engagements
• Stay educated on new and emerging technologies/patterns/methodologies and market offerings that may be of interest to our clients.
• Adapt to existing methods and procedures to create possible alternative solutions to moderately complex problems.
• Use considerable judgment to define solution and seeks guidance on complex problems.

Ideally you will have;

• End to End Consulting experience
• Experience designing implementation plans
• Experience in pre-sales activities and providing estimations
• Experience designing, developing, optimizing and troubleshooting complex data-intensive applications using Spark, Databricks, Azure, Data Factory, Synapse, Fabric, Purview, Power BI.
• Must know PySpark, Python and SQL; comfortable with Java and/or Scala.
• Comfortable designing and implementing data warehouse and pipelines-such as ETL, data integration, and streaming-to support teams focused in Analytics.
• Experienced in AWS Cloud Platform. Hands on experience on 3 or more in the following list (Azure, AWS, GCP),
• Ability to engineer for performance, scalability, latency, & reliability.
• DevOps and automation experience highly desired

Mane Consulting specialise in Data & Analytics. For more information on this role or others like this in the market apply below or contact mark.cornwel-smith @mane.com.au