Data Architect - Talend/Informatica (7-8 yrs)

Dear Candidates,

We are recruiting for one of Our Indian Based Client .

Greetings From D2N Solutions Private Limited

Data Architect

7-10 years

data modeling, Data architecture ,big data tools, database management, and cryptography, Spark, Hadoop, Nifi, SQL Server , Mongo DB, OLAP cubes using SSAS

Pune / Chennai

Immediate joiners to 30 days max

Job Description :

Role : Data Architect

Overview :

We are seeking a highly skilled and experienced Data Architect to design, implement, and manage scalable, secure, and efficient data solutions. The Data Architect will play a key role in building and maintaining data systems, ensuring data quality, and enabling data-driven decision-making across the organization. This position requires a deep understanding of data modeling, database design, cloud-based solutions, and analytics platforms.

Key Responsibilities :

1. Data Strategy and Architecture Design :

Design and implement enterprise-level data architecture to meet organizational goals and business needs.

Develop and maintain data models, data dictionaries, and data management policies.

Define data standards, best practices, and governance frameworks.

2. Data Integration and Management :

Design and oversee data pipelines and ETL (Extract, Transform, Load) processes for integrating data from diverse sources.

Ensure data quality, security, and compliance with regulatory standards.

Manage and optimize data storage systems, including relational and NoSQL databases, data lakes, and warehouses.

3. Collaboration and Stakeholder Engagement :

Collaborate with cross-functional teams, including business analysts, data engineers, and software developers, to understand data requirements.

Work with senior leadership to translate business objectives into data strategies.

Provide technical guidance to data engineering and analytics teams.

4. Technology Implementation :

Evaluate and recommend tools, platforms, and technologies for data architecture, analytics, and storage.

Implement and manage cloud-based data solutions (e.g., AWS, Azure, GCP).

Ensure the scalability and reliability of data systems to handle growing data volumes.

5. Analytics and Insights Enablement :

Enable advanced analytics and machine learning by designing data systems that support data scientists and analysts.

Ensure high-performance querying and reporting capabilities.

Monitor and improve data accessibility and visualization for business users.

Required Skills and Qualifications :

Technical Skills :

- Expertise in data modeling, database design, and data management frameworks.

- Proficiency in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra).

- Experience with data integration and ETL tools (e.g., Informatica, Talend, Apache Airflow).

- Knowledge of big data technologies such as Hadoop, Spark, Kafka, or similar.

- Familiarity with cloud-based data solutions (e.g., AWS Redshift, Azure Synapse, Google BigQuery).

- Strong understanding of data governance, data security, and compliance standards (e.g., GDPR, HIPAA).

Soft Skills :

- Strong problem-solving and analytical thinking.

- Excellent communication and interpersonal skills to work with both technical and non-technical stakeholders.

- Ability to manage multiple projects and priorities in a fast-paced environment.

Education and Experience :

- Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.

- 5+ years of experience in data architecture, database design, or a related role.

- Certifications in cloud platforms or data-related fields (e.g., AWS Certified Data Analytics, Microsoft Certified Azure Data Engineer) are a plus.

Preferred Qualifications :

- Experience with machine learning pipelines and AI-driven data architectures.

- Knowledge of industry-specific data standards and practices.

- Familiarity with visualization tools like Tableau, Power BI, or Looker