What are the responsibilities and job description for the Cloud Architect position at Apexon?
About Apexon:
Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents.
We enable #HumanFirstDIGITAL
We are seeking a highly skilled AWS Data Architect to design, build, and optimize cloud-based data platforms that enable scalable analytics and business intelligence. The ideal candidate will have deep expertise in AWS cloud services, data modeling, data lakes, ETL pipelines, and big data ecosystems.
Key Responsibilities
- Design and implement end-to-end data architecture on AWS (data lakes, data warehouses, and streaming solutions).
- Define data ingestion, transformation, and storage strategies using AWS native services (Glue, Lambda, EMR, S3, Redshift, Athena, etc.).
- Architect ETL/ELT pipelines and ensure efficient, secure, and reliable data flow.
- Collaborate with data engineers, analysts, and business stakeholders to translate business needs into scalable data solutions.
- Establish data governance, security, and compliance frameworks following AWS best practices (IAM, KMS, Lake Formation).
- Optimize data systems for performance, cost, and scalability.
- Lead data migration projects from on-prem or other clouds to AWS.
- Provide technical guidance and mentorship to data engineering teams.
Required Skills & Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- 7 years of experience in data architecture, data engineering, or cloud architecture.
- Strong hands-on experience with AWS services:
- Storage & Compute: S3, EC2, Lambda, ECS, EKS
- Data Processing: Glue, EMR, Kinesis, Step Functions
- Analytics: Redshift, Athena, QuickSight
- Security & Governance: IAM, KMS, Lake Formation
- Proficiency in SQL, Python, and ETL frameworks.
- Experience with data modeling (3NF, Dimensional Modeling, Data Vault).
- Familiarity with data governance and metadata management tools.
- Excellent communication and stakeholder management skills.