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Data Solution Architect
Data Solution ArchitectShrive Technologies LLC • United States
Data Solution Architect

Data Solution Architect

Shrive Technologies LLC • United States
10 days ago
Job type
  • Full-time
  • Quick Apply
Job description

Skill

Mandatory

Proficiency Level (1-5)

Solution / Data Architect

Solution & Architect Experience

Must Have

TOGAF Enterprise Architecture Foundation

Good to Have

GCP Dataflow

Must Have

GCP Dataproc

Must Have

GCP Big Query

Must Have

GCP Composer

Must Have

Airflow DAG creation

Must Have

Teradata

Must Have

SQL

Must Have

Hadoop , Spark & Hive

Must Have

Terraform

Good to Have

ETL ,Informatica

Must Have

Shell script

Good to Have

Gitlab

Good to Have

CICD Deployment tools like Jenkins

Good to Have

JIRA

Good to Have

Programming Language

Java & Scala

Must Have

Apache Beam Framework

Must Have

Python , Pyspark

Must Have

Communication

Very good experience in client communication & working with the client from offshore

Must Have

Job Description (Posting).

A Data Solution Architect designs and implements data management solutions, ensuring data integrity, accessibility, and security to support business needs, often working with various stakeholders and technologies.

Roles and Responsibilities of a Data Solution Architect :

Data Modeling and Design : -

  • Designing and building data models to meet the strategic data needs of the organization.
  • Creating conceptual and logical data models.
  • Ensuring data models align with business requirements and technical standards.

Data Architecture and Strategy : -

  • Developing and implementing data architecture and strategy to support business goals.
  • Ensuring data is integrated, accessible, and secure.
  • Identifying and implementing solutions for data integration and data warehousing.
  • Data Management and Governance : -

  • Developing and enforcing data policies and standards.
  • Ensuring data quality, accuracy, and consistency.
  • Implementing data security measures to protect sensitive information.
  • Collaboration and Communication : -

  • Working closely with business users, data analysts, and IT teams to understand their needs and requirements.
  • Communicating technical solutions to both technical and non-technical audiences.
  • Presenting design reports and architectural diagrams.
  • Technical Implementation and Support : -

  • Designing and implementing data solutions using various technologies and tools.
  • Monitoring and maintaining data infrastructure to ensure optimal performance.
  • Providing guidance and support for data migrations and upgrades.
  • Continuous Improvement : -

  • Staying up-to-date with the latest data technologies and trends.
  • Identifying areas for improvement in current systems and processes.
  • Proposing changes to the existing architecture to enhance performance and scalability.
  • Other Responsibilities : -

  • Identifying installation solutions for new databases.
  • Determining the requirements for a new database.
  • Supervising and guiding development teams.
  • Writing technical documentation and drawing diagrams.
  • Auditing databases regularly to maintain quality.
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