Data Architect - III

SGA Inc.
New York, NY, United States
about 1 month ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Cloud Database Cloud Engineering Continuous Integration Data Architecture Information Engineering Data Governance Extract Transform Load (ETL) Data Security Dataspaces Data Warehousing Database Design
+32 more
Software Design Patterns Disaster Recovery Identity and Access Management Information Lifecycle Management Python (Programming Language) Software Architecture Cloud Services DataOps SQL Databases Data Streaming Tableau (Software) Technical Data Management Systems Data Processing Freeform SQL Enterprise Software Applications Data Storage Technologies Data Classification Apache Spark Caching Change Data Capture Gitlab Data Lakes Pyspark Infrastructure Automation Frameworks Information Technology Integration Frameworks Data Management Machine Learning Operations Software Version Control Data Pipelines Database Tools and Utilities Databricks

Job description

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 ., * 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

Requirements

  • 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.

About the company

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 .

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:14 min

Structuring CI/CD pipelines with integrated security and quality checks

Christoph Ruggenthaler · LIVE

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · World Congress 2022

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:29 min

Utilizing specific tooling for continuous integration and modeling

Christoph Fassbach Christoph Fassbach +1 · World Congress 2024

4:54 min

Implementing geographic salary tiers for compensation equity and fairness

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

Videos

See all

Related articles

See all