What You’ll Be Doing
- Lead, define and implement end-to-end modern data platforms in support of analytics and AI use cases
- Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities
- Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
- Be the technical liaison between customers and engineering teams
- Directly collaborate with the sales team to formulate and execute a sales strategy to facilitate the adoption of AWS and big data technologies and help build offerings
- Lead and mentor small technical teams, ensuring timely and effective execution of tasks and deliverables.
- Understand business requirements, translating them into actionable technical solutions and strategies to meet organizational objectives.
- Educate customers on the value of AWS and AWS’s Data services
- Proficiently navigate time zone differences to effectively collaborate with our distributed teams in North America and Egypt, demonstrating flexibility in adjusting work hours when required to synchronize efforts and ensure smooth communication
Qualifications & Experience
- Proven experience leading engagements from design to implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premise, cloud (Ideally AWS) and hybrid architectures to enable use cases in analytics and AI
- Proven experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
- Experience with analytics/data management strategy formulation, architectural blueprinting, business case development and effort estimation of disruptor based analytics
- Proven experience working in the cloud or multi-server complex environments. Experience with AWS a requirement.
- Ability to simplify complex technical concepts into an easy-to-understand non-technical language in order to facilitate, communicate and interact with executives and business stakeholders
- Experience with Agile development methods in data-oriented projects
Strong candidates will also have some of the following capabilities:
- Bachelor’s Degree or higher in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or a related field is desired
- Strong SQL, Database, Data Modeling, Data Warehousing and Development skills
- Strong programming / scripting experience using various languages such as Python, Java, Scala .NET, Typescript, Javascript, etc.
- Experience in Cloud Big Data & Analytics Services on the cloud (AWS preferred ie. S3, Redshift, Athena, EMR, Glue, Quicksight, etc.)
- Experience with Dashboarding and Reporting Tools used in the Industry (Quicksight, PowerBI, Tableau, Qlik, etc.)
- Experience with industry ETL tools (Informatica, Talend, SSIS, etc.)
- Have strong people management skills: leading teams, training, onboarding, offboarding, etc.
- Preference for candidates with the following AWS certifications
- AWS Certified Data Analytics - Specialty (DAS-C01)
- AWS Certified Solutions Architect - Associate (SAA-C03)
- AWS Certified Data Engineer – Associate
- Preference for candidates with experience in open-source table formats, including Apache Hudi, Apache Iceberg, and Databricks Delta Lake
- Subject matter data expertise in Financial Services (Banking, Insurance), Consumer Products (Retail), Energy & Resources, Life Sciences (Healthcare) and Government (Transport, Higher Ed, Social Services) industries
- Experience with implementation of data security, encryption, PII/PSI legislation, identity and access management across sources and environments
- Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, Powershell, Bitbucket, etc.
Interested?? Click me to apply
Medium Level
Type Fixed
Duration: More than 06 months