Description
Ingram Micro touches 80% of the technology you use every day with our focus on Technology Solutions, Cloud, and Commerce and Lifecycle Solutions. With $50 billion in revenue, we have become the world’s largest technology distributor with operations in 64 countries and more than 35,000 associates.
Position Summary: AWS Data Architect
Role Summary
We have an excellent opportunity for an experienced AWS Data Architect to join our AWS services team and play a key role in supporting our continued growth plans. These plans aim to solidify our position as a leading global Services partner with AWS. Data Architects are expected to routinely act as the lead on large scale, complex projects and provide mentoring to their fellow technical consultants. Our Technical Consultants provide post-sales technical consultancy, undertake delivery and implementation engagements, as well as providing pre-sales qualification and design to consultancy engagements. A typical AWS Data Architect will have had five or more years’ experience in a technical consulting type role, with an excellent understanding and experience of delivering AWS centric solutions, specifically focused on Data.
Key Duties and Responsibilities
Working in close collaboration with the local (in-country) AWS sales and technical team, along with the local Regional Service Centre, the core responsibilities of the role include, but not limited to, the following:
Project Delivery
- Undertake individual consultancy assignments or work on a project as part of a larger team analysing customer requirements, gathering and analysing data and recommending solutions
- Technically manage the assessment, design, and implementation of solutions
- Ensure consultancy assignments are undertaken consistently and with quality
- Highlight technical risks so that any Ingram Micro exposure to commercial loss can be minimised
- Design and implement scalable, secure, and high-performance data architectures on AWS.
- Develop data models, ETL processes, and data integration solutions.
- Ensure data architecture aligns with business requirements and industry best practices.
- Lead the implementation of data engineering projects, from requirements gathering to deployment.
- Collaborate with cross-functional teams to ensure successful project delivery.
- Develop and maintain documentation for data architectures, processes, and standards.
- Ensure that hand over to relevant support organisation is successfully completed
- Provide technical support as requested, for internal and external customers
- Lead and present at customer opportunities and workshop sessions
Pre-Sales, Scoping, and Services Development
- Lead, or be part of, customer scoping calls or workshop sessions
- Lead and contribute to Statement of Works
- Build and maintain a good awareness of the internal SMEs areas of specialism
- Identify other Ingram Micro service and sales opportunities
- Support the development of the regional AWS services propositions, solutions and GTM
- Work with thought leaders within Ingram Micro to allow for continued success and to help identify areas of potential growth Lead with qualification of designs and opportunities
- Prepare and deliver technical presentations and demonstrations to potential clients.
- Develop proof of concepts (POCs) to showcase the capabilities of proposed solutions.
Personal Skills Development
- An active and contributing member of our regional AWS technical community
- Build and maintain a strong relationship with the channel partners internal technical team
- Keep up to date with current and future technologies, products and strategies
- Build a solid skills foundation in chosen subject matter
- Maintain relevant vendor certifications
- Build and enhance relationships with peers
- Continue development of consultative skills
Qualifications and Experience
An AWS Data Architect should also have the following qualifications and experience:
Desirable Qualifications
- AWS Speciality Certification
Expected Experience (Design, Deployment and Transformation)
- 2+ years on AWS complex cloud environments
- Minimum of 5 years of experience in data engineering or data architecture.
- Proven experience with AWS services such as Redshift, Glue, S3, Lambda, RDS, and EMR.
- Strong experience with data modeling, ETL processes, and data integration tools.
- Proficiency in SQL, Python, and other programming languages commonly used in data engineering.
- Experience with big data technologies like Hadoop, Spark, and Kafka.
- Strong analytical and problem-solving skills.
Knowledge, Skills, and Characteristics
- Five or more years of experience in a technical consulting and business analyst type role
- Excellent communicator both verbally and written (both local and English)
- Experienced, mature, influential, assertive and diplomatic
- Able to operate independently or as part of a larger team
- Able to technically manage other people on large scale projects
- Able to network with industry peers and customers
- Industry leading knowledge of chosen subject matter
- A flexible approach to work and prepared 'go the extra mile' to exceed customer expectations
- Applies knowledge and skills through handling complex problems beyond own area of expertise
- Ability and willingness to travel
*This is not a complete listing of the job duties. It’s a representation of the things you will be doing, and you may not perform all of these duties.