Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology, Data ManagementIndustries

Position Summary

The Data Architect focuses on designing the blueprint of the entire data management framework. This includes setting the vision, policies, practices, and standards that govern the collection, storage, arrangement, and use of data across an organization. Data Architects ensure that the data systems are scalable, interoperable, and manageable.

Data Architects design. This involves constructing data pipelines that transform and transport data from various sources so that it can be used by Data Analysts and Data Scientists efficiently and effectively.

A Glimpse into the Daily Routine of a Data Architect

As a Data Architect, you'll design and build robust database solutions that power business intelligence across the organization. Your role involves creating scalable data architectures using technologies like SQL, NoSQL, Hadoop, and Spark across cloud platforms such as AWS and Azure.

You'll collaborate with system designers and developers to implement comprehensive data strategies, while ensuring data privacy policies and regulatory compliance are seamlessly integrated into every solution. Using advanced data modeling tools, you'll architect everything from traditional databases to modern data lakes, always balancing performance, scalability, and security.

Your expertise in database structures and data mining drives critical decisions that enable efficient data analysis and support the organization's growing intelligence needs across multiple computing environments.

Essential Duties and Responsibilities

  • Design and create the overall data architecture (databases, large scale processing systems).
  • Define how data will be stored, consumed, integrated, and managed by different data entities and IT systems.
  • Ensure the data strategies and architectures are in compliance with regulatory requirements.
  • Work with business executives to ensure the data architecture aligns with business requirements.
  • Data volumes. Ensure that data flows efficiently through the pipelines, making it usable for further analysis and reporting.
  • Implement, maintain, and update data management tools and systems.
  • Optimize data retrieval, develop dashboards, reports and perform database maintenance tasks.
  • Collaborate closely with data scientists, helping to ensure that the organization's data infrastructure meets the requirements of complex data analytics.

Qualifications

  • 4-7 years of experience in the data architect field.
  • Bachelor’s degree in a STEM program.
  • Strong knowledge of database structure systems and data mining.
  • Familiarity with various database technologies like SQL, NoSQL, Big Data technologies (Hadoop, Spark), and cloud services (AWS, Azure).
  • Expertise in data modeling and design tools.
  • Deep knowledge of database design and structures, data modeling, and data warehousing.
  • Expertise in data management technologies and a broad understanding of big data solutions.
  • Familiarity with tools and languages like SQL, UML (Unified Modeling Language), XML, and enterprise architecture frameworks.

Nice-to-Have Skills and Experience

  • AWS Solutions Architect Professional
  • AWS Developer Associate
  • SnowPro Advanced Architect
  • Databricks Apache Spark Developer

Company Offered Benefits

Full-time employees are eligible to participate in our employee benefit programs:

  • Medical, dental, and vision health insurances,
  • Short term disability, long term disability and life insurances,
  • 401k with Company match
  • Paid time off (PTO) (120 hours PTO that accrue over one year)
  • Paid time off for major holidays (14 days per year)

These and any other employee benefit offerings are subject to management’s discretion and may change at any time.

Physical Demands and Work Environment

Skills

Data Architecture
Database Design
Data Modeling
Data Pipelines
SQL
NoSQL
Hadoop
Spark
AWS
Azure
Data Privacy
Regulatory Compliance
Data Lakes
Data Mining

Effectual

Cloud innovation and IT modernization services

About Effectual

Effectual specializes in modernizing IT infrastructure for businesses, focusing on cloud innovation. The company helps both commercial enterprises and public sector customers enhance their IT systems by using established methods and cloud solutions to accelerate digital transformation. Effectual's services include modern application development, cloud strategy, data analytics, and generative AI services, all aimed at improving data-driven decision-making. A significant part of their approach is ensuring data security and compliance, which helps businesses mitigate risks and protect their reputations. Additionally, Effectual assists clients in optimizing their cloud costs by reducing technical debt and the total cost of ownership. The goal of Effectual is to turn business challenges into successful outcomes through effective IT modernization.

Jersey City, New JerseyHeadquarters
2018Year Founded
GROWTH_EQUITY_VCCompany Stage
Data & Analytics, Enterprise Software, Cybersecurity, AI & Machine LearningIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Retirement Plan
401(k) Company Match
Paid Vacation
Paid Holidays
Hybrid Work Options

Risks

Increased competition from new Cloud Native Computing Foundation members.
Potential over-reliance on AWS as a primary partner.
Investment pressure may prioritize growth over service quality.

Differentiation

Effectual is an AWS Premier Partner with seven AWS competencies.
The company specializes in IT modernization for both commercial and public sectors.
Effectual emphasizes data security, achieving SOC 2 Type 1 and Type 2 compliance.

Upsides

Effectual ranked No. 44 on CRN's 2024 Fast Growth 150 list.
Increased demand for cloud cost optimization boosts Effectual's service relevance.
Rising interest in generative AI aligns with Effectual's service offerings.

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