Senior Data Architect

4 days ago


Woburn, United States Diamondpick Full time

Job Description:

 Design, architect, and implement scalable data solutions on Google Cloud Platform

(GCP) to meet the strategic data needs of the organization.

 Lead the integration of diverse data sources into a unified data platform, ensuring

seamless data flow and accessibility across the organization.

 Develop and enforce robust data governance, security, and compliance frameworks

tailored to GCP's architecture.

 Collaborate with cross-functional teams, including data engineers, data scientists, and

business stakeholders, to translate business requirements into technical data

solutions.

 Optimize data storage, processing, and analytics solutions using GCP services such

as BigQuery, Dataflow, and Cloud Storage.

 Drive the adoption of best practices in data architecture and cloud computing to

enhance the performance, reliability, and scalability of data solutions.

 Conduct regular reviews and audits of the data architecture to ensure alignment with

evolving business goals and technology advancements.

 Stay informed about emerging GCP technologies and industry trends to continuously

improve data solutions and drive innovation.


Profile Description:

 Experience: 12+ years of total IT experience in data architecture, with extensive expertise in

Google Cloud Platform (GCP).

 Skills: Deep understanding of GCP services including BigQuery, Dataflow, Pub/Sub,

Cloud Storage, and IAM. Proficiency in data modeling, ETL processes, and data

warehousing.

 Qualifications: Master’s degree in Computer Science, Data Engineering, or a related

field.

 Competencies: Strong leadership abilities, with a proven track record of managing

large-scale data projects. Ability to balance technical and business needs in designing

data solutions.

 Certifications: Google Cloud Professional Data Engineer or Professional Cloud

Architect certification preferred.

 Knowledge: Extensive knowledge of data governance, security best practices, and

compliance in cloud environments. Familiarity with big data technologies like Apache

Hadoop and Spark.

 Soft Skills: Excellent communication skills to work effectively with both technical teams

and business stakeholders. Ability to lead and mentor a team of data engineers and

architects.

 Tools: Experience with version control (Git), CI/CD pipelines, and automation tools.

Proficient in SQL, Python, and data visualization tools like Looker or Power BI.



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