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Technical Architect @ Eviden

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 Technical Architect

Job Description

Role Overview:
The Senior Tech Lead - AWS Data Engineering leads the design, development and optimization of data solutions on the AWS platform. The jobholder has a strong background in data engineering, cloud architecture, and team leadership, with a proven ability to deliver scalable and secure data systems.
Responsibilities:
  • Lead the design and implementation of AWS-based data architectures and pipelines.
  • Architect and optimize data solutions using AWS services such as S3, Redshift, Glue, EMR, and Lambda.
  • Provide technical leadership and mentorship to a team of data engineers.
  • Collaborate with stakeholders to define project requirements and ensure alignment with business goals.
  • Ensure best practices in data security, governance, and compliance.
  • Troubleshoot and resolve complex technical issues in AWS data environments.
  • Stay updated on the latest AWS technologies and industry trends.
Key Technical Skills & Responsibilities
  • Overall 10+Yrs of Experience in IT
  • Minimum 5-7 years in design and development of cloud data platforms using AWS services
  • Must have experience of design and development of data lake / data warehouse / data analytics solutions using AWS services like S3, Lake Formation, Glue, Athena, EMR, Lambda, Redshift
  • Must be aware about the AWS access control and data security features like VPC, IAM, Security Groups, KMS etc
  • Must be good with Python and PySpark for data pipeline building.
  • Must have data modeling including S3 data organization experience
  • Must have an understanding of hadoop components, No SQL database, graph database and time series database; and AWS services available for those technologies
  • Must have experience of working with structured, semi-structured and unstructured data
  • Must have experience of streaming data collection and processing. Kafka experience is preferred.
  • Experience of migrating data warehouse / big data application to AWS is preferred .
  • Must be able to use Gen AI services (like Amazon Q) for productivity gain
Eligibility Criteria:
  • Bachelor s degree in Computer Science, Data Engineering, or a related field.
  • Extensive experience with AWS data services and tools.
  • AWS certification (e.g., AWS Certified Data Analytics - Specialty).
  • Experience with machine learning and AI integration in AWS environments.
  • Strong understanding of data modeling, ETL/ELT processes, and cloud integration.
  • Proven leadership experience in managing technical teams.
  • Excellent problem-solving and communication skills.
Our Offering
  • Global cutting-edge IT projects that shape the future of digital and have a positive impact on environment.
  • Wellbeing programs & work-life balance - integration and passion sharing events.
  • Attractive Salary and Company Initiative Benefits
  • Courses and conferences
  • Attractive Salary
  • Hybrid work culture

Job Classification

Industry: Software Product
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Architect
Employement Type: Full time

Contact Details:

Company: Eviden
Location(s): Pune

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Keyskills:   Computer science Data modeling data security Machine learning Cloud Data collection Data analytics AWS Data warehousing Python

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Eviden

Reducing poverty and spurring growth in developing countries requires strategic, high-value investment of scarce resources, whether they come from donors, governments, or communities.Evidence Action develops and de-risks business models for such programs that allow tens of millions of people to be s...