Data Architect with AWS at Ohio, Maryville

Title: AWS Data Architect

Location: Ohio, Maryville  – Onsite Client location all 5 days in person

Duration: 6+ Months

Job Description:

• 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, GCP BigQuery). Familiarity with AI/ML-driven data pipelines.