Data Solutions Architect ( Any Cloud: AWS / Microsoft Azure / Google Cloud )

Roles and Responsibilities:

• Provide deep technical expertise and leadership across a range of cloud data technologies. You will be the go-to person for driving tool selection, resolving complex engineering issues, and guiding best practices during engagements
• Lead the design and implementation of data platforms to meet customers’ business requirements
• Lead whiteboard design sessions with internal and external team members
• Identify and communicate technical risks as they emerge over the course of a project
• Work closely with principal consultants to extract project requirements during technical discovery sessions, define deliverables to meet those requirements and break down those deliverables into a technical roadmap
• Lead teams of data and cloud engineers to execute project roadmaps, provide guidance on technical tasks, priorities and technical assistance when needed
• Manage scope within customer engagements, identify changing requirements as they arise, determine their impact on scope, and ensure all stakeholders are aware and agree with the changes
• Maintain a close working relationship with the customer as a “trusted advisor”, set clear expectations, challenge assumptions, solicit feedback, and take ownership of project deliverables
• Building complex ETL code using technologies such as Spark, Nifi, Glue
• Building real-time streaming solutions leveraging technologies such as Kafka, Kinesis, Pub Sub and Spark Streaming
• Developing code using Python, Java and Scala languages
• Creating complex data solutions and build data pipelines
• Establishing credibility and build impactful relationships with our customers
• Maintain relevant certifications on cloud technologies and stay informed of key industry trends

Qualification & Experience:

• 3+ years of experience in public cloud environments (AWS, GCP or Azure)
• 3 + years of developing code using Python, Java or Scala languages
• Experience with building complex ETL code using technologies such as Spark, Nifi, Glue
• Experience with building real-time streaming solutions leveraging technologies such as Kafka, Kinesis, Pub Sub or Spark Streaming
• Strong SQL skills
• Creating complex data solutions and build data pipelines
• Establishing credibility and build impactful relationships with our customers
• Strong written and verbal communication skills