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Open nowFirst seen 6 hours ago

Senior Data Architect

VS Tech Solutions60 open roles

Where
New York, New York, United States
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Your applicationOpen nowSenior Data ArchitectVS Tech Solutions · New York, New York, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on VS Tech Solutions's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 6 hours ago

The posting

Experience level: Mid-senior

Experience required: 10 Years

Education level: Bachelors degree

Total position: 1

Relocation assistance: No

Skills: Data Architect, NoSQL, Big Data, SQL, SQL-like query, Relational, Json, AVRO, Data Modeling, Erwin, Hadoop, HDFS, Hive, Query Engines, Presto, Cloud (AWS / Azure)

JOB DESCRIPTION:

  • Provide centralized data services for Digital solutions teams data scientists, business users with NoSQL and Big Data platforms, hybrid cloud, and BI tools.
  • This position will cover multiple data driven projects encompassing data requirements gathering, discovery, pipeline design, data modeling, DDL release, and query tuning.
  • Must be able to work independently, acting as the lead expert in data, and work with business analysts, project managers, architects, app developers and data engineers to deliver the results on time and with quality.

RESPONSIBILITIES:

  • Looking for a senior data architect, with strong technical background as well as leadership qualities, to fill in as the leader of the data platform.
  • Oversee the development and maintenance of a centralized data platform with latest big data and advanced analytics technology deployed globally on premise and on major public clouds.
  • Oversee a pool of 50+ contingent data professionals developing and supporting 20+ projects and products on the platform.
  • Define and maintenance operation standards on the platform.
  • Improve the way data assets are managed and working with business to find new ways to monetize data.
  • Provide centralized data services for Digital solutions teams data scientists, business users with NoSQL and Big Data platforms, hybrid cloud, and BI tools.
  • This position will cover multiple data driven projects encompassing data requirements gathering, discovery, pipeline design, data modeling, DDL release, and query tuning.
  • Must be able to work independently, acting as the lead expert in data, and work with business analysts, project managers, architects, app developers and data engineers to deliver the results on time and with quality.

QUALIFICATIONS:

  • 10+ years of experience working with data and 7+ years as a data architect.
  • Broad knowledge and experience with relational, NoSQL and Big Data concepts, environments, and common products
  • Solid background with SQL and SQL-like query languages, as well as various types of schema (Relational, Json, AVRO, etc.)
  • 5+ years experience with common data modeling tools, such as Erwin, and conversion between various types of schema
  • Expertise in Big Data (knowledge and background) is required, including Hadoop platform (HDFS, Hive, etc.), and other query engines, such as Presto.
  • Experience delivering data solutions in the cloud (AWS / Azure)
  • Good documentation and verbal communication skills
  • Must be a dedicated team member who can handle various projects.

ADDITIONAL INFORMATION:

We are the global leader in the human resources consulting.

We offer top-notch benefits: multiple medical, dental, and vision plans with choices to fit all needs and budgets - benefits coverage starting Day 1

Flexible work opportunities for work/life balance

A culture of internal mobility, diversity, inclusion, and collaboration

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    The review screen in CV Rocket: how each CV was read, round by round.

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