AWS Solutions Architect

Anveta Inc
Minneapolis, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Minneapolis, United States of America

Tech stack

Amazon Web Services (AWS)
Amazon Web Services (AWS)
Business Analytics Applications
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
ETL
Data Transformation
Data Security
DevOps
Python
PCI Data Security Standards
SQL Databases
Data Streaming
Real Time Systems
Data Ingestion
Snowflake
Spark
Servicebus
Data Lake
Data Analytics
Amazon Web Services (AWS)
Kafka
Api Gateway
Stream Analytics
Data Pipelines
Databricks

Job description

  1. Client Engagement & Consulting
  2. Deep Data Architecture / Engineering Expertise
  3. Strong Problem-Solving & Techno-functional Thinking The ideal candidate is someone who has grown within consulting/service organizations, understands how to translate business problems into scalable data solutions, and is still close enough to technology to guide hands-on teams.

Key Responsibilities

  1. Client Engagement & Consulting

  • Act as a trusted advisor to banking clients (business + technology stakeholders)

  • Lead: o Discovery workshops o Use case identification o Solution discussions and architectural reviews

  • Translate business problems (risk, fraud, customer analytics, reporting) into data-driven solutions

  • Drive stakeholder alignment across business, data, and engineering teams

  1. Data Architecture & Engineering Leadership

  • Design and own end-to-end data architectures on AWS, including: o Data lakes / lakehouse architectures o Batch + real-time pipelines o Data ingestion, processing, and consumption layers

  • Define data models, governance frameworks, and architecture blueprints

  • Provide hands-on guidance on: o ETL/ELT pipelines o Streaming (Kafka / Kinesis) o Analytics platforms (Redshift / Snowflake / Databricks)

  1. AWS Cloud Architecture

  • Architect scalable and secure AWS environments using: o S3, Redshift, Glue, Athena, EMR o Lambda, ECS/EKS, Step Functions o API Gateway, EventBridge, Kinesis

  • Ensure adherence to: o AWS Well-Architected Framework o Banking compliance (RBI / PCI-DSS / data security)

  1. Problem Solving & Solutioning
  • Break down ambiguous business problems into structured solutions
  • Drive solution design with trade-off analysis (cost, performance, scalability)
  • Support: o Data modernization initiatives o Legacy-to-cloud transformations o Real-time analytics and reporting solutions
  1. Delivery & Team Leadership
  • Mentor and guide data engineers, cloud engineers, and analysts
  • Ensure high-quality architecture implementation
  • Collaborate with offshore/onshore teams for delivery success
  • Drive best practices in: o Data engineering o DevOps & automation o Testing and observability

Requirements

o Data Engineering (Spark, SQL, Python) o Data pipelines & ETL frameworks

  • Deep expertise in AWS data stack: o Glue, Redshift, S3, EMR, Athena o Kinesis / Kafka for streaming

  • Experience with: o Modern data platforms (Databricks / Snowflake preferred) Architecture

  • Proven ability to: o Design scalable data architectures o Define data flows, models, and integration patterns

  • Strong understanding of: o Batch vs real-time processing o Data governance & quality frameworks Consulting & Client Skills

  • Experience in client-facing roles (consulting/services firms preferred)

  • Strong ability to: o Lead discussions with business + tech stakeholders o Convert requirements into solution designs

  • Excellent communication and storytelling skills Banking / Financial Domain (Preferred)

  • Exposure to: o Risk, fraud, payments, reporting, regulatory systems

  • Understanding of: o Data compliance and security in banking

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