Job Description
We are seeking a highly motivated and skilled Data Architect to join our team at
Analytics Client. Our company specializes in providing data-driven solutions to
clients in various industries, and we are looking for an individual who is
passionate about data, technology, and delivering exceptional results. As a Data
Architect, you will play a crucial role in designing, implementing, and maintaining
the data infrastructure that supports our analytics solutions.
Analytics Client. Our company specializes in providing data-driven solutions to
clients in various industries, and we are looking for an individual who is
passionate about data, technology, and delivering exceptional results. As a Data
Architect, you will play a crucial role in designing, implementing, and maintaining
the data infrastructure that supports our analytics solutions.
Key Responsibilities
- Collaborate with cross-functional teams to understand business requirements
and translate them into data architecture solutions. - Design and build data models and databases that are scalable, efficient, and
secure. - Develop strategies for data extraction, transformation, and loading (ETL)
processes from various data sources. - Create and maintain documentation of data architecture, data flows, and data
models. - Identify and implement best practices for data governance, data quality, and
data security. - Evaluate and recommend new technologies and methodologies to enhance our
data architecture and analytics capabilities. - Conduct performance monitoring, tuning, and troubleshooting of data
architecture and databases. - Work closely with data engineers and data analysts to ensure smooth data flow
through the entire analytics process. - Provide technical guidance and support to team members and stakeholders on
data architecture and data-related issues. - Stay updated with industry trends and advancements in data architecture and
data management.
Skill & Experience
- Bachelors or Masters degree in Computer Science, Information Technology, or
a related field. - Minimum of 8 years of experience in data architecture, data engineering, or a
similar role. - Solid understanding of data integration, ETL processes, and data modeling
principles. - Knowledge of database management systems, such as SQL, NoSQL, and
Hadoop. - Proficiency in at least one programming language, such as Python, Java, or
Scala. - Experience with cloud-based data services, such as AWS, Google Cloud, or
Microsoft Azure. - Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and manage multiple projects in a fast-paced
environment.