Data Architect - III

New York, NY, US • Posted 8 hours ago • Updated 8 hours ago
Contract W2
On-site
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Job Details

Skills

  • Financial Services
  • Data Processing
  • Storage
  • PySpark
  • Python
  • ELT
  • Distribution
  • Unity
  • Authentication
  • Data Quality
  • Data Manipulation
  • Analytical Skill
  • Change Data Capture
  • Data Management
  • Machine Learning Operations (ML Ops)
  • IBM Lotus Domino
  • Continuous Integration
  • Continuous Delivery
  • Workflow
  • GitLab
  • Extract
  • Transform
  • Load
  • Version Control
  • Disaster Recovery
  • Semantics
  • Business Intelligence
  • Generative Artificial Intelligence (AI)
  • Mentorship
  • Apache Spark
  • Optimization
  • Emerging Technologies
  • Design Patterns
  • Computer Science
  • Data Engineering
  • Database Design
  • Databricks
  • Stacks Blockchain
  • Amazon Web Services
  • Enterprise Software
  • Tableau
  • Visualization
  • Scalability
  • SQL
  • Data Architecture
  • Cloud Computing
  • Data Modeling
  • Lifecycle Management
  • Data Flow
  • Data Storage
  • Caching
  • Privacy
  • Access Control
  • Encryption
  • Data Lake
  • Data Warehouse
  • Data Governance
  • Collaboration
  • Communication
  • Leadership
  • MEAN Stack
  • Customer Service
  • Training And Development
  • SAP BASIS

Summary

Software Guidance & Assistance, Inc., (SGA), is searching for a Data Architect - III for a C ontract assignment with one of our premier Financial Services clients in New York, NY .

Responsibilities :
  • Architect scalable data processing frameworks leveraging Databricks platform for analytical workloads
  • Implement cost-optimization strategies balancing compute resources, storage tiering, and cluster configurations
  • Develop and maintain coding standards for PySpark/Python within Databricks notebooks ensuring maintainability and performance
  • Design and architect ETL/ELT pipelines supporting ingestion, transformation, and distribution of analytic datasets.
  • Design Databricks workspace architectures integrating Unity Catalog for centralized governance, AWS IAM for authentication, and cross-account data access patterns.
  • Design data quality frameworks and validation logic within processing workflows
  • Understanding of complex SQL queries and Spark transformations for data manipulation, aggregation, and analytical computations
  • Establish patterns for incremental processing, change data capture, and historical data management
  • Architect MLOps pipelines for model deployment and monitoring using AWS services, Domino Data Lab, and related platforms
  • Implement CI/CD workflows using GitLab for data pipeline deployment and version control
  • Establish infrastructure-as-code practices for environment consistency and disaster recovery
  • Establish data governance frameworks within centralized data lake environment
  • Design dimensional data models and semantic layers optimized for Tableau and BI consumption
  • Explore and implement generative AI capabilities
  • Partner with product owners, architects, data engineers, analysts, and application teams to translate requirements into technical architectures
  • Mentor team members on best practices for Spark optimization, data modeling, and cloud-native design patterns
  • Evaluate emerging technologies and platforms for potential adoption into the data ecosystem
  • Document architectural decisions, design patterns, and technical standards
Required Skills :
  • Bachelor's degree in computer science or similar field with 8+ years of related work experience.
  • 8+ years of experience in data architecture, data engineering or database design and large-scale enterprise cloud data implementations in complex, highly regulated environments with Databricks platform. Deep understanding of modern data technology stacks, cloud data platforms (AWS preferred), and enterprise software solutions.
  • 5+ years of experience in Tableau visualization preferred.
  • Demonstrated experience designing, architecting and supporting applications with a strong emphasis on scalability, security, availability and performance. Demonstrated knowledge of and leading adoption of industry best practices in the areas of DataOps and modern data stack tools, data governance, SQL and other query tools.
  • Demonstrated experience in cloud data architecture skills including designing, architecting and delivering modern cloud data platforms to ingest, process, store and expose data across the enterprise. Expert knowledge of data modeling techniques and tools, data lifecycle management and integration patterns to ensure that data flows are consistent, reliable and reusable across services and solutions. Experience with data storage technologies, partitioning strategies, caching, data access patterns, and robust security strategies enforcing privacy and regulatory requirements including designing standardized approaches for data classification, access control, encryption, retention and auditability. Knowledge of data lake houses, data warehousing concepts and data governance.
  • Outstanding communication and collaboration skills, including translating technical topics and risks into business teams. Ability to personalize communication to audience from technologists to executive leadership.
  • Extensive, in-depth experience implementing highly complex technology projects in a cross-functional matrix environment with demonstrated ability to drive consensus and deliver results. Examples of leading through influence and successfully resolving conflicting priorities are required.
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy
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.
  • Dice Id: sgainc
  • Position Id: 26-01939
  • Posted 8 hours ago

Company Info

About Software Guidance & Assistance

Founded in 1981, SGA is a technology and resource solutions provider with a national footprint and headquartered in the shadow of Wall Street. We’re a certified women-owned business. We provide contingent staffing, direct placement, and professional and managed services to transform businesses and evolve careers. We’re small enough to tailor our services to each client and big enough to deliver for some of the world’s largest employers. Our professionals are experts in areas such as IT, finance, accounting, risk, and clinical.

SGA provides contingent staffing, direct placement, and professional and managed services nationwide for Fortune 500 companies, mid-size businesses and select startups.

Our core skillsets include all areas of technology – business & data analysis, cyber & network security, database administration, development & architecture, infrastructure, program & project management, quality assurance & testing. We also deliver talent across professional business functions such as finance, accounting, risk, and clinical.

Our Professional & Managed Services team delivers IT projects through onshore, offshore and hybrid delivery models. We develop software products, modernize applications, add features, and integrate and maintain systems. Our scope covers, among others, complex application suites, data management and visualizations, machine learning and mobile applications.

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