ZipRecruiter

Log In

KonnectingTree

6 jobs near Columbus, OH

KONNECTINGTREE INC

.Net Developer

Minneapolis, MN · On-site

$50.25 - $66.50/hr

Minimum Qualifications: * Ten (10) years of software development experience, including at least five (5) years of application development using .NET framework and Microsoft technologies * Combined ...

New

AWS Data Architect (12+ Yrs Preferred)

KONNECTINGTREE INC

Clinton, NJ

$66.50 - $85.50/hr

Other

Posted 3 days ago

Job description

Position: AWS Data Architect
Location: Clinton, NJ (Hybrid - 3 Days Onsite)
Type: Contract
Job Description:
Role Overview:
We are seeking a highly experienced and hands-on AWS Data Architect to lead the design, implementation, and governance of enterprise-scale data platforms on AWS. This role requires deep technical expertise, strong architectural ownership, and the ability to actively contribute to development while guiding teams.
The ideal candidate will be a player-coach capable of defining architecture, building solutions, and ensuring best practices across data engineering, analytics, and governance.
Key Responsibilities:
Architecture & Design
  • Define and own end-to-end data architecture on AWS (ingestion, storage, transformation, consumption)
  • Design scalable, secure, and high-performing data platforms (lakehouse / modern data stack)
  • Establish standards for data modeling, partitioning, metadata, and lifecycle management
  • Architect solutions for both batch and real-time data processing
Hands-On Engineering
  • Build and implement pipelines using AWS Glue, EMR, Lambda, Step Functions
  • Design data storage using S3, Redshift, RDS, DynamoDB
  • Develop and optimize ETL/ELT pipelines using PySpark, SQL, and Python
  • Implement data transformation frameworks and reusable components
Data Governance & Security
  • Define and enforce data governance, cataloging, and lineage
  • Design row-level security, IAM policies, encryption strategies
  • Work with AWS Lake Formation / Glue Data Catalog
Performance & Optimization
  • Optimize data pipelines for performance and cost efficiency
  • Drive SPICE/BI dataset optimization (if QuickSight or similar tools involved)
  • Improve query performance in Redshift/S3-based architectures
Collaboration & Leadership
  • Work closely with business, analytics, and engineering teams
  • Lead technical discussions and design reviews
  • Mentor data engineers and enforce engineering best practices
  • Act as the primary owner of data architecture decisions
Migration & Modernization
  • Lead legacy data platform migrations (e.g., on-prem, Tableau, Hadoop) to AWS
  • Define strategies for data platform modernization and cloud-native adoption
  • Support large-scale BI/reporting migrations (e.g., to QuickSight)
Reporting Frameworks & Reusable Components
  • Create reusable reporting templates, dataset templates, and QuickSight themes.
  • Build standardized KPIs, calculated fields, and metric definitions.
  • Design modular AI agents and workflow templates that can be used across multiple business functions.
  • Design modular reporting components that can be used across multiple dashboards.
  • Implement parameterized dashboards and reusable visual components.
Quick Suite Development & AI-Powered Reporting
  • Design, develop, and maintain interactive dashboards, datasets, and visualizations in Amazon QuickSight (now part of Quick Suite).
  • Build and configure Quick Chat agents to enable natural language querying across business data sources.
  • Design Quick Spaces that group data, applications, and AI agents for specific business functions or teams.
  • Build high-performance dashboards optimized for large datasets and fast refresh times.
  • Implement row-level security (RLS) and governance controls for business users and AI agents.
  • Create standardized QuickSight templates and dashboard frameworks that can be reused across teams.
  • Design and maintain semantic layers and curated datasets for reporting and AI consumption.
Ideal Candidate Profile:
Overall 12+ years of experience, including 5 to 7 years in AWS Data Architecture.
Core AWS Expertise
  • Deep experience with:
    • S3 (data lake design)
    • AWS Glue (ETL, catalog)
    • Amazon Redshift (data warehouse design & optimization)
    • Lambda, Step Functions (orchestration)
    • IAM, Lake Formation (security)
Data Engineering & Processing
  • Strong hands-on experience with:
    • PySpark / Spark (EMR or Glue)
    • SQL (advanced level)
    • Python for data pipelines
  • Experience with streaming (Kinesis / Kafka) is a plus
Data Architecture
  • Expertise in:
    • Data lake / lakehouse architectures
    • Data modeling (dimensional + normalized)
    • Metadata and cataloging strategies
    • Handling large-scale, distributed data systems
Modern Data Stack (Preferred)
  • Exposure to:
    • dbt, Airflow, Snowflake (optional but valuable)
    • BI tools (QuickSight, Tableau, Power BI)
    • API-based ingestion and microservices-based data flows
    • Amazon Quick Suite (QuickSight, Quick Chat, Quick Flows, Quick Automate, Quick Research)
    • SQL & Data Modeling
    • AWS Analytics Stack
    • Dashboard Design
    • AI Agent Design & Configuration
    • Workflow Automation & Business Process Optimization
Soft Skills:
  • Strong ownership mindset and ability to drive architecture end-to-end
  • Excellent communication with both technical and business stakeholders
  • Ability to work in fast-paced, ambiguous environments
  • Proven leadership and mentoring experience
Nice-to-Have:
  • AWS Certifications (Solutions Architect, Data Analytics Specialty)
  • Experience with data governance frameworks / regulatory compliance
  • Background in large enterprise transformations
Education:
Bachelor s degree in Computer Science, Engineering, Information Systems, or equivalent experience

Apply