Data Architect

Reference: GCS/GP 1276_1775772289

Overview

We are seeking a Senior Data Architect to help design and scale data solutions that support analytics across advertising, sales, and marketing domains. This is a hands‑on architecture role focused on building reliable data models, shaping data flows, and partnering with both technical and business teams to deliver high‑quality insights.

You will work across multiple data domains - including agency data, sales pipeline insights, campaign performance, and marketing measurement - and help define the architectural patterns that support these use cases.

Key Responsibilities

Architecture & Design

  • Design end‑to‑end data architectures that support analytics, reporting, and advanced data use cases.

  • Build dimensional models, semantic layers, and scalable data structures.

  • Create architecture diagrams, data flow documentation, and technical wikis.

  • Contribute to best practices for cloud‑based data processing and storage.

Collaboration & Delivery

  • Work within an Agile environment, participating in refinement, planning, and backlog discussions.

  • Partner with product, data management, engineering, and business teams to translate requirements into practical data solutions.

  • Provide architectural guidance to development teams and ensure alignment with standards.

  • Support delivery teams by reviewing designs, identifying risks, and ensuring data quality.

Data Domain Focus

  • Ingesting and harmonizing advertising and agency datasets.

  • Modeling sales order, pipeline, and forecasting data.

  • Structuring campaign performance, delivery, and engagement metrics.

  • Supporting marketing measurement, attribution, and optimization datasets.

Preferred Technical Skills (Flexible / Open)

Candidates may come from various cloud, data engineering, or analytics backgrounds. Experience in any of the following areas is valuable:

Cloud & Data Platforms

  • Experience with cloud data ecosystems (AWS, Azure, GCP, or similar).

  • Familiarity with modern data platforms such as Databricks, Snowflake, BigQuery, Redshift, or similar technologies.

Data Engineering & Processing

  • Hands‑on experience with distributed data processing tools (Spark, PySpark, SQL‑based engines, or equivalent).

  • Ability to design and optimize data pipelines for performance and scalability.

Modeling & Architecture

  • Strong understanding of dimensional modeling, semantic layers, and analytical data structures.

  • Experience designing star schemas, fact/dimension models, or unified data models.

General Technical Strengths

  • Solid SQL skills and comfort working with large datasets.

  • Ability to evaluate architectural tradeoffs and propose scalable solutions.

  • Experience with documentation tools (Lucidchart, Confluence, or similar).

What We're Looking For

  • 7+ years of experience in data architecture, data engineering, or related technical roles.

  • Strong problem‑solving skills and the ability to translate business needs into technical designs.

  • Comfortable working across multiple data domains and collaborating with cross‑functional teams.

  • Ability to communicate complex technical concepts in a clear, approachable way.

  • Experience in advertising, media, marketing analytics, or sales data is a plus - but not required.

GCS is acting as an Employment Business in relation to this vacancy.

COMPETITIVE SALARY

Jersey City

Contract

Added 09/04/2026
Reference: GCS/GP 1276_1775772289

Data Architect

Jersey City
Contract

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