- Job Role: Senior Data Architect
- Salary: Not Disclosed
- Location: Toronto, ON
- Company: Virtusa
- Qualifications: Bachelor’s degree
- Experience: five-10 years
- Job Type: Full-time
ABOUT VIRTUSA
Virtusa is an international IT offering and consulting organization that gives end-to-end virtual transformation answers to clients across various industries, including banking, healthcare, coverage, and telecommunications. With a strong presence in Canada, Virtusa has a specialty in delivering progressive offerings in areas that include cloud computing, statistics analytics, artificial intelligence, agency modernization, and automation. The business enterprise allows agencies to navigate complicated generation challenges, enhance operational performance, and accelerate increase through superior answers and expertise.
Virtusa combines deep enterprise information with the contemporary generation to drive virtual transformation and create measurable fees for its customers. The business enterprise is known for its strong dedication to purchaser achievement, collaborative tradition, and global delivery version. With a focus on non-stop innovation, Virtusa strives to empower agencies to achieve their strategic goals and live beforehand in a hastily evolving virtual landscape.
Job Description:
A Senior Data Architect is liable for designing, enforcing, and handling complex facts structures, and architectures inside the company. They broaden statistics models, outline information techniques, and ensure the integrity, safety, and scalability of information solutions. Collaborating with pass-functional groups, the role calls for know-how in information warehousing, cloud technology, and database control. The Senior Data Architect ensures that statistics is dependent and on hand for enterprise intelligence, analytics, and selection-making. This position requires robust technical competencies, management experience, and a deep knowledge of facts governance, and industry quality practices.
Requirements and Skills for a Senior Data Architect:
A Senior Data Architect is responsible for the design, development, and optimization of facts architectures that align with enterprise objectives and technical necessities. To efficaciously perform in this position, applicants have to possess a combination of technical, analytical, and leadership capabilities, together with substantial experience in information management and structured design. Below are the key necessities and talents for this role:
Educational Requirements:
- Bachelor’s or Master’s Degree in Computer Science, Information Technology, Data Science, Engineering, or an associated degree.
- Certifications in applicable technologies (e.g., Microsoft Azure, AWS, Google Cloud, or specific database systems) are particularly advantageous.
Professional Experience:
- five-10 years of experience in records architecture, statistics engineering, or associated fields, with a sturdy awareness of designing, implementing, and preserving huge-scale facts structures.
- Proven enjoy main go-useful teams and running intently with commercial enterprise stakeholders to recognize facts and wishes and create solutions.
- Experience in Data Modeling, Data Warehousing, and ETL (Extract, Transform, Load) tactics.
- Solid information on cloud structures (AWS, Azure, GCP) and Big Data technology inclusive of Hadoop, Spark, and Kafka.
- Demonstrated ability to design and deploy information pipelines, integrate statistics from numerous resources, and ensure excessive performance, availability, and safety.
Technical Skills:
- Database Management: Proficient in both relational (SQL-based totally) and non-relational (NoSQL) databases such as MySQL, PostgreSQL, MongoDB, Cassandra, or comparable.
- Data Integration: Experience with ETL equipment and techniques (e.g., Apache NiFi, Talend, Informatica, SSIS) and the capability to lay outacts workflow and integrations.
- Data Modeling: Expertise in growing conceptual, logical, and physical data models with the use of equipment like Erwin, IBM InfoSphere, or Microsoft Visio.
- Big Data Technologies: Experience with Hadoop surroundings, Spark, Hive, and different allotted records processing technology.
- Programming: Proficiency in scripting and programming languages together with Python, Java, SQL, or Scala.
- Cloud Infrastructure: Experience with handling records architectures in public or hybrid cloud environments (AWS, Azure, Google Cloud).
Soft Skills:
- Leadership and Collaboration: Ability to lead and mentor groups, communicate effectively with each technical and non-technical stakeholder, and manage cross-purposeful initiatives.
- Analytical Thinking: Strong trouble-fixing capabilities, with the capacity to investigate and translate business desires into records-driven answers.
- Communication: Excellent written and verbal verbal exchange skills to convey complicated statistics architectures and strategies to diverse audiences.
Additional Skills:
- Familiarity with records governance, statistics privacy rules (GDPR, CCPA), and high-quality practices.
- Experience with Data Visualization gear including Power BI, Tableau, or Looker to offer records insights correctly.
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