Randstad USA
job
Summary:
The Data Architect / Lead will play a key role in in the Design and Development of Data models, datasets, and ETL/ELT pipelines from a variety of data sources to the Data Warehouse / Data Lake on Google Cloud Platform (GCP) for client's flagship Priority Engine product.
Priority Engine relies heavily on this foundational data layer.
The Data Architect will help provide technical leadership and strategic direction for Priority Engine's data platform.
The position will be responsible for the delivery and technical quality of our programs, taking on complex projects.
It will also partner with cross-functional stakeholders to drive initiatives forward, and mentor team members in technical design, project leadership, and running team processes.
The position will be responsible to build and maintain scalable data infrastructureThe candidate must have a keen sense for the business drivers, have a vision for the data strategy and help execute it.
The candidate must be familiar with industry trends and best practices around data engineering on the cloud and apply them appropriately.
The candidate must be a hand-on professional and able to explain work experiences with these technologies ( knowledge or certificates without actual experience is not acceptable.
) location:
Newton, Massachusettsjob type:
Permanentsalary:
$175,000 - 190,000 per yearwork hours:
8am to 4pmeducation:
Bachelors
Responsibilities:
Responsibilities:
Cloud Data Strategy:
Develop and implement a comprehensive cloud data strategy, aligning it with the organization's business objectives, ensuring scalability, reliability, and securityData Architecture Design:
Design and implement the cloud-based data architecture, considering factors such as data modeling, data integration, data storage, and data governance.
Evaluate and select appropriate cloud technologies and services to support the architecture, such as data lakes, data warehouses, and data pipelinesData Modeling and Design:
Define data models, schemas, and structures to effectively capture and represent data requirements.
Ensure data models are optimized for performance, scalability, and ease of use.
Data Integration:
Develop strategies and implement solutions for seamless data integration from various sources into the cloud-based data architecture.
Collaborate with cross-functional teams, including data engineers and data analysts, to design and implement data pipelines and ETL processes.
Cloud Infrastructure Optimization:
Collaborate with infrastructure teams to optimize the cloud environment for data storage, processing, and analytics.
Identify opportunities to leverage cloud-native services and technologies to enhance performance and cost efficiencyCollaboration and Stakeholder Management:
Work closely with business stakeholders, data analysts, and other teams to understand data requirements and translate them into actionable solutions.
Provide guidance and technical leadership to cross-functional teams to ensure alignment with the cloud data architectureDesign, develop, and implement end-to-end data solutions (storage, integration, processing, access) in Google Cloud Platform (GCP);Create ETL/ELT pipelines that transform and process terabytes of structured and unstructured data in real-time;Deeply immerse in our Priority Engine Data Pipelines, to acquire full understanding and ability to converse with business representatives and individual contributorsSome upcoming technical challenges include scaling our data ingestion pipelines across a growing number of GCP, AWS, and data center-based data sources, reducing the latency of our product data ingestion pipelines through moving batch jobs into a streaming architecture, and extending our data lake architecture for the growing ecosystem of data ingestion and creation tools.
Be a hands-on contributor on the team;Collaborate with product/application architects to develop holistic solutions;Implement operational procedures (logging, monitoring, alerting, etc.
) for dependable running of pipelines/jobs; andBe autonomous.
You own what you work on.
You move fast, take ownership, and get things done.
The Data lake/warehouse is a central and essential service for multiple initiatives, and you need to be able to multitask and juggleAbout the Company:
Randstad USARandstad was founded in 1960 by Frits Goldschmeding.
We've never let go of his passion or the values that he established.
By staying true to those fundamentals, we've expanded to represent more than 90 percent of the HR services market.
We provide outsourcing, staffing, consulting and workforce solutions within the areas of engineering, accounting and finance, healthcare, human resources, IT, legal, life sciences, manufacturing and logistics, office and administration and sales and marketing.
We can't wait to tell you all about it.
Our mission is to be a world leader in matching demand for, and supply of, labor and HR services.
We believe in the value of work as a unifying force that shapes society for the better.
We live by the core values established early in our company's history:
to know, serve and trust, striving for perfection and simultaneous promotion of all interests.
Company Size:
10,000 employees or moreIndustry:
Staffing/Employment AgenciesFounded:
1960Website:
https:
//www.
randstadusa.
com/.
Estimated Salary: $20 to $28 per hour based on qualifications.
Summary:
The Data Architect / Lead will play a key role in in the Design and Development of Data models, datasets, and ETL/ELT pipelines from a variety of data sources to the Data Warehouse / Data Lake on Google Cloud Platform (GCP) for client's flagship Priority Engine product.
Priority Engine relies heavily on this foundational data layer.
The Data Architect will help provide technical leadership and strategic direction for Priority Engine's data platform.
The position will be responsible for the delivery and technical quality of our programs, taking on complex projects.
It will also partner with cross-functional stakeholders to drive initiatives forward, and mentor team members in technical design, project leadership, and running team processes.
The position will be responsible to build and maintain scalable data infrastructureThe candidate must have a keen sense for the business drivers, have a vision for the data strategy and help execute it.
The candidate must be familiar with industry trends and best practices around data engineering on the cloud and apply them appropriately.
The candidate must be a hand-on professional and able to explain work experiences with these technologies ( knowledge or certificates without actual experience is not acceptable.
) location:
Newton, Massachusettsjob type:
Permanentsalary:
$175,000 - 190,000 per yearwork hours:
8am to 4pmeducation:
Bachelors
Responsibilities:
Responsibilities:
Cloud Data Strategy:
Develop and implement a comprehensive cloud data strategy, aligning it with the organization's business objectives, ensuring scalability, reliability, and securityData Architecture Design:
Design and implement the cloud-based data architecture, considering factors such as data modeling, data integration, data storage, and data governance.
Evaluate and select appropriate cloud technologies and services to support the architecture, such as data lakes, data warehouses, and data pipelinesData Modeling and Design:
Define data models, schemas, and structures to effectively capture and represent data requirements.
Ensure data models are optimized for performance, scalability, and ease of use.
Data Integration:
Develop strategies and implement solutions for seamless data integration from various sources into the cloud-based data architecture.
Collaborate with cross-functional teams, including data engineers and data analysts, to design and implement data pipelines and ETL processes.
Cloud Infrastructure Optimization:
Collaborate with infrastructure teams to optimize the cloud environment for data storage, processing, and analytics.
Identify opportunities to leverage cloud-native services and technologies to enhance performance and cost efficiencyCollaboration and Stakeholder Management:
Work closely with business stakeholders, data analysts, and other teams to understand data requirements and translate them into actionable solutions.
Provide guidance and technical leadership to cross-functional teams to ensure alignment with the cloud data architectureDesign, develop, and implement end-to-end data solutions (storage, integration, processing, access) in Google Cloud Platform (GCP);Create ETL/ELT pipelines that transform and process terabytes of structured and unstructured data in real-time;Deeply immerse in our Priority Engine Data Pipelines, to acquire full understanding and ability to converse with business representatives and individual contributorsSome upcoming technical challenges include scaling our data ingestion pipelines across a growing number of GCP, AWS, and data center-based data sources, reducing the latency of our product data ingestion pipelines through moving batch jobs into a streaming architecture, and extending our data lake architecture for the growing ecosystem of data ingestion and creation tools.
Be a hands-on contributor on the team;Collaborate with product/application architects to develop holistic solutions;Implement operational procedures (logging, monitoring, alerting, etc.
) for dependable running of pipelines/jobs; andBe autonomous.
You own what you work on.
You move fast, take ownership, and get things done.
The Data lake/warehouse is a central and essential service for multiple initiatives, and you need to be able to multitask and juggleAbout the Company:
Randstad USARandstad was founded in 1960 by Frits Goldschmeding.
We've never let go of his passion or the values that he established.
By staying true to those fundamentals, we've expanded to represent more than 90 percent of the HR services market.
We provide outsourcing, staffing, consulting and workforce solutions within the areas of engineering, accounting and finance, healthcare, human resources, IT, legal, life sciences, manufacturing and logistics, office and administration and sales and marketing.
We can't wait to tell you all about it.
Our mission is to be a world leader in matching demand for, and supply of, labor and HR services.
We believe in the value of work as a unifying force that shapes society for the better.
We live by the core values established early in our company's history:
to know, serve and trust, striving for perfection and simultaneous promotion of all interests.
Company Size:
10,000 employees or moreIndustry:
Staffing/Employment AgenciesFounded:
1960Website:
https:
//www.
randstadusa.
com/.
Estimated Salary: $20 to $28 per hour based on qualifications.
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