Senior Data Architect
at Diamondpick
in
Woburn,
Massachusetts
Posted in Other about 2 hours ago.
Type: full-time
Job Description:
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.