Overview
On Site
$250000
Full Time
Job Details
Vaco is actively seeking an AWS Data Architect to support our client’s continued growth in Memphis. This is a unique opportunity to join a highly respected organization that is a proven leader in their field.
(Please Note: No form of employment sponsorship or accommodations are being considered)
Position Overview
As a senior-level data platform leader, you will drive the design and evolution of a next-generation data ecosystem within a highly regulated environment. The individual will serve as both a technical authority and a guiding force for multiple data engineering groups, balancing architectural vision with practical implementation.
Required Expertise Across: AWS Glue, Amazon S3, Amazon Redshift, AWS Lambda, AWS Lake Formation, Amazon DataZone, Python, SQL, Terraform
Key Responsibilities:
Requirements Include:
Additional Details:
Interested Candidates are Encouraged to Apply for Immediate Consideration!
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan.
(Please Note: No form of employment sponsorship or accommodations are being considered)
Position Overview
As a senior-level data platform leader, you will drive the design and evolution of a next-generation data ecosystem within a highly regulated environment. The individual will serve as both a technical authority and a guiding force for multiple data engineering groups, balancing architectural vision with practical implementation.
Required Expertise Across: AWS Glue, Amazon S3, Amazon Redshift, AWS Lambda, AWS Lake Formation, Amazon DataZone, Python, SQL, Terraform
Key Responsibilities:
- Partner with cross-functional technology teams to define and construct a robust, enterprise-scale data foundation that supports analytic, operational, and real-time enterprise utilization.
- Develop and oversee highly resilient data processing workflows optimized for scalability, performance, and security within an expanding AWS environment.
- Own the lifecycle of a modern data architecture encompassing: multi-source data integrations, development of transformation and enrichment frameworks, and delivery of mechanisms such as streaming platforms and service-based access layers.
- Ensure data platform alignment with technical design standards and long-term architectural strategies through close collaboration with enterprise architecture functions.
- Guide and elevate engineering teams through technical leadership, knowledge sharing, and adoption of forward-looking design methodologies.
- Embed and maintain governance controls, compliance mechanisms, and security safeguards in accordance with industry best-practices and applicable regulatory controls.
- Translate business objectives into technical solutions by engaging directly with non-technical stakeholders and strategic partners.
- Continuously evaluate new tools, methodologies, and cloud advancements to refine and future-proof platform capabilities.
Requirements Include:
- Advanced command of modern development and query languages for large-scale data environments.
- Demonstrated mastery of data services and ecosystems with emphasis on AWS capabilities including but not limited to object storage, analytics engines, serverless compute, orchestration frameworks, and real-time processing tools.
- Extensive experience delivering enterprise data solutions within cloud infrastructures, particularly in environments requiring high reliability and strict governance.
- Deep familiarity with both structured and distributed data architectures including relational database systems and large-scale processing frameworks.
- Strong practical understanding of data transformation methodologies, workflow automation, and data pipeline optimization.
- Proven ability to integrate heterogeneous data sources while maintaining accuracy, consistency, and reliability across datasets.
- Experience implementing and managing workflow orchestration systems and event-based automation platforms.
- Expertise in infrastructure automation and deployment practices including source control management and CI/CD methodologies.
- Demonstrated strength in diagnosing complex data platform challenges and applying structured problem-solving approaches.
- Solid foundation in data governance principles, privacy compliance, and security practices with experience enforcing controls within production systems.
- Track record of technical mentorship, continuous improvement mindset, and fostering innovation across teams.
Additional Details:
- Employment Type: Direct-Hire / Perm
- Start Date: Immediate
- Location: Memphis / Germantown
- Cadence: 100% Onsite
- Domestic Travel: Up to 20%
- Target Compensation Range: $200,000 - $250,000
- Engagement Status: Applicant must be currently authorized to work in the U.S. without the need for employment-based sponsorship, now or in the future, including: H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa programs.
Interested Candidates are Encouraged to Apply for Immediate Consideration!
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.