Data Architect - 1099

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Information Technology, Data & AnalyticsIndustries

Requirements

Candidates must have at least 4 years of experience in data architecture and a Bachelor's degree in a STEM program. Strong knowledge of database structure systems, data mining, SQL, NoSQL, Big Data technologies (Hadoop, Spark), cloud services (AWS, Azure), data modeling, design tools, and database design is required. Experience with Teradata and Snowflake technology is also necessary, along with familiarity with UML, XML, and enterprise architecture frameworks. Target certifications include AWS Solutions Architect Professional, AWS Developer Associate, SnowPro Advanced Architect, and Databricks Apache Spark Developer.

Responsibilities

The Data Architect will design the overall data architecture, including databases and large-scale processing systems, and define how data will be stored, consumed, integrated, and managed. Responsibilities include creating database solutions, overseeing data storage and maintenance, developing scalable data architectures, implementing data privacy policies, and ensuring compliance with data protection regulations. The role involves working with system designers and developers to implement data strategies, collaborating with business executives to align data architecture with business requirements, ensuring efficient data flow through pipelines, and implementing/maintaining data management tools. Additionally, the Data Architect will optimize data retrieval, develop dashboards and reports, perform database maintenance, and assist data scientists with data infrastructure needs.

Skills

SQL

NoSQL

Hadoop

Spark

AWS

Azure

Snowflake

Teradata

data modeling

data architecture

data pipelines

data lakes

data warehousing

ETL

data governance

data privacy

regulatory compliance

large-scale processing

cloud services

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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