Data Architect

This position is responsible for providing support for ETL / ELT / File Movement of data. The key responsibilities will be to process and move data between different compute and storage services, as well as on-premises data sources at specified intervals. The employee will also be responsible for the creation, scheduling, orchestration and management of data pipelines.

**Position Summary:**

We are seeking a skilled and experienced Data Architect to design, optimize, and oversee our organizations data systems and infrastructure esp for Customer Support Program. The ideal candidate will play a key role in ensuring the organization s data is organized, secure, and effectively leveraged for decision-making and innovation.

**Key Responsibilities:**

**Data Architecture Design & Implementation**

- Design and implement robust, scalable, and efficient data architectures to support current and future business requirements.

- Develop and maintain conceptual, logical, and physical data models.

- Ensure seamless integration of data from multiple sources into a unified structure.

**Data Management & Optimization**

- Establish and enforce data governance policies, including data quality, privacy, and security standards.

- Optimize database systems and data pipelines for performance, reliability, and scalability.

- Conduct data profiling, cleansing, and transformation activities to ensure data integrity.

**Collaboration & Stakeholder Management**

- Work closely with business stakeholders, analysts, and developers to gather data requirements and translate them into technical solutions.

- Collaborate with IT and DevOps teams to deploy and manage databases and data solutions.

- Provide guidance to data engineers, analysts, and other team members on best practices and architectural principles.

**Technology Evaluation & Adoption**

- Stay updated on emerging data technologies and recommend tools and platforms that align with business needs.

- Evaluate, select, and implement data storage solutions (eg, data lakes, data warehouses, cloud solutions).

- Drive adoption of modern data architecture approaches such as event-driven architecture, real-time processing, or distributed data systems.

**Documentation & Reporting**

- Develop comprehensive documentation for data structures, processes, and architectural designs.

- Provide regular updates to management on the status and performance of data systems.

**Required Qualifications:**

- Bachelor s or Master s degree in Computer Science, Information Systems, or related field with 12+ years of experience

- Proven experience as a Data Architect, Data Engineer, or similar role.

- Expertise in database management systems (eg, SQL Server, Oracle, PostgreSQL, MySQL).

- Proficiency in data modeling tools (eg, ER/Studio, Lucidchart) and techniques.

- Hands-on experience with big data technologies (eg, Hadoop, Spark) and cloud platforms (eg, AWS, Azure, Google Cloud).

- Strong understanding of ETL processes, data pipelines, and data integration.

- Knowledge of data governance, security practices, and compliance standards (eg, GDPR, HIPAA).

- Familiarity with modern tools such as Snowflake, Kafka, or Apache Airflow is a plus.

**Key Competencies:**

- Excellent analytical and problem-solving skills.

- Strong communication and interpersonal skills for collaboration with technical and non-technical teams.

- Ability to handle multiple projects and prioritize effectively.

- A proactive approach to learning and adopting new technologies.

**Preferred Skills:**

- Experience with machine learning frameworks or data science tools.

- Familiarity with BI tools (eg, Tableau, Power BI).

- Certification in cloud or database technologies (eg, AWS Data Analytics, Microsoft Azure Data Engineer).

Exposure to AI and Salesforce are added advantage