AWS Senior Data Architect

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My name is Sreeja and I represent TestingXperts Inc. TestingXperts is a Specialist QA & Software Testing Company, and an Independent Software Testing division of Damco Group, which is a leading IT Solutions and Services company working with Fortune Enterprises globally. Inheriting the virtues of job quality and optimal user satisfaction from Damco Group, TestingXperts aims at promoting the ethics of connected innovation, thereby seeding the integral values in our employees and achieving unmatched contentment in our clients. To know more about Testingxperts Inc., please visit our website .

If you are interested in the opportunity listed below, please forward your updated resume along with current contact information, or perhaps you can recommend someone who would be interested in this position

Job title: AWS Senior Data Architect

Location: Ohio, Maryville

Role Overview
The AWS Senior Data Architect is responsible for designing, implementing, and managing scalable, secure, and high-performing data solutions on AWS. This role involves working closely with business stakeholders, data engineers, and cloud architects to modernize enterprise data platforms, enable advanced analytics, and ensure governance and compliance.
Key Responsibilities

• Solution Architecture
  • Design and implement cloud-native data architectures (data lakes, warehouses, lakehouse models).
  • Define best practices for data ingestion, transformation, and storage using AWS services (Redshift, Glue, S3, EMR, Athena, Kinesis).
• Data Strategy & Governance
  • Establish data modeling standards and metadata management.
  • Ensure compliance with data security, privacy, and governance policies.
• Collaboration
  • Partner with business leaders to align data solutions with organizational goals.
  • Work with engineering teams to optimize pipelines and analytics workloads.
• Innovation
  • Drive adoption of emerging technologies (Databricks, Snowflake, GenAI-driven workloads).
  • Lead modernization initiatives from legacy systems to AWS cloud.
• Leadership
  • Provide technical guidance and mentorship to data engineers and architects.
  • Act as a trusted advisor for customers on their cloud journey.

Required Skills & Experience

• Technical Expertise
  • Strong knowledge of AWS ecosystem (Redshift, Glue, S3, Lambda, DynamoDB, etc.).
  • Experience with big data frameworks (Spark, Kafka, Hive).
  • Proficiency in SQL and Python for data engineering tasks.
• Architecture & Modeling
  • Hands-on experience with data lakehouse and medallion architecture.
  • Strong background in data modeling, ETL/ELT design, and performance optimization.
• Professional Experience
  • 8 12 years in data architecture, with at least 5 years in cloud-native solutions.
  • Proven track record of leading enterprise-scale data modernization projects.
• Soft Skills
  • Excellent communication and stakeholder management.
  • Ability to translate business needs into technical solutions.

Preferred Qualifications

• AWS Certified Solutions Architect Professional or AWS Certified Data Analytics Specialty.
• Experience with multi-cloud environments (Azure Databricks, Google Cloud Platform BigQuery).
• Familiarity with AI/ML-driven data pipelines