Overview
Remote
On Site
Hybrid
$120000 - $121000 yr
Contract - W2
Contract - Independent
Skills
LAKEHOUSE
DELTA LAKE
ICEBERG
SQL
PYTHON
CLOUD
AWS
GCP
AZURE
DATA MODELING
DIMENSIONAL MODELING
ENTERPRISE DATA MODEL
DATA GOVERNANCE
DATA LINEAGE
COMPLIANCE
MLOPS
FEATURE STORE
RAG
AI INFRASTRUCTURE
DATA MESH
API ARCHITECTURE
MULTI-SYSTEM INTEGRATION
Job Details
Salary: $120k - $121k/yr.
Qualifications:
Desired Skills:
Pay Transparency: The typical base pay for this role across the U.S. is: $120k - $121k/yr. As a non-exempt position, this role will be eligible for overtime, at 1.5 times the base rate, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including medical, dental, and vision benefits, health savings account option for qualified medical plan enrollments, accrual of up to 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, travel reimbursement, accommodations for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement as required by state or local law.
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded.
Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying STOP to messages or by contacting .
For information about our collection, use, and disclosure of applicants personal information as well as applicants' rights over their personal information, please see our .
#AditiConsulting
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Qualifications:
- 5+ years of data architecture experience
- 5+ years hands-on implementation in cloud data platforms including enterprise-scale data platform design and implementation
- 3+ years designing and implementing modern data platform architectures including unified analytics platforms, data governance frameworks, workspace management, and cluster optimization strategies at enterprise scale
- Expert-level dimensional modeling, lakehouse architectures, and enterprise data model design with extensive hands-on implementation experience across multiple domains
- Hands-on experience building data governance frameworks, data lineage systems, and compliance reporting for regulated environments
- Deep expertise in modern table formats (Delta Lake, Iceberg), liquid clustering, partition strategies, and query performance tuning at multi-terabyte scale Proficiency in SQL (expert level), Python (advanced) for implementing architectural patterns and complex data transformations
- Expert knowledge of cloud data services with hands-on implementation experience including object storage, managed ETL services, distributed compute engines, data warehousing solutions, and serverless analytics platforms
Desired Skills:
- Hands-on experience with Infrastructure as Code using AWS CloudFormation, or similar tools for implementing enterprise data platform infrastructure
- Experience designing and implementing enterprise knowledge graphs, semantic ontologies, and graph database architectures using managed graph services and open-source solutions
- Experience architecting and implementing ML/AI infrastructure including feature stores, model deployment patterns, MLOps frameworks, and RAG system architectures
- Deep understanding of data lakehouse concepts including medallion architecture, batch vs streaming processing patterns, ACID transactions, and incremental processing strategies with hands-on implementation
- Experience designing and implementing complex multi-system integrations, API architectures, real-time data streaming solutions, and enterprise data mesh patterns
- Hands-on experience with cost optimization strategies, compute resource right-sizing, cost management frameworks, and implementing cost governance across large-scale data platforms
Pay Transparency: The typical base pay for this role across the U.S. is: $120k - $121k/yr. As a non-exempt position, this role will be eligible for overtime, at 1.5 times the base rate, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including medical, dental, and vision benefits, health savings account option for qualified medical plan enrollments, accrual of up to 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, travel reimbursement, accommodations for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement as required by state or local law.
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded.
Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying STOP to messages or by contacting .
For information about our collection, use, and disclosure of applicants personal information as well as applicants' rights over their personal information, please see our .
#AditiConsulting
# 25 - 23202
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.