Data Architect

24 hours ago

Chennai Tamil Nadu, India Saaki Argus & Averil Consulting Full time

**Hiring for Data Architect**

**Location**: Chennai & Bangalore

**Work mode**: Hybrid

**Responsibilities**:

- Design and implement robust data architectures that support business requirements and drive data-driven decision-making.
- Develop and maintain scalable data models, data warehouses, and data lakes using Snowflake, Databricks, Hadoop, and open-source data lake architectures.
- Lead data engineering efforts to build and optimize ETL pipelines, ensuring data quality and integrity.
- Collaborate with cross-functional teams to understand data needs and translate them into technical solutions.
- Implement best practices for data governance, security, and compliance.
- Conduct data profiling, data mapping, and data lineage analysis to ensure accurate and consistent data flow.
- Provide technical leadership and mentorship to junior data engineers and architects.
- Stay updated with the latest industry trends and technologies to continuously improve our data architecture.

**Qualifications**:

- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 10-15 years of experience in data architecture, data engineering, and data modeling.
- Proven expertise in **Snowflake or Databricks or Hadoop**, and open-source data lake architectures, including hands-on experience with their respective tools and frameworks.
- Strong proficiency in **SQL, Python**, and other relevant programming languages.
- Experience with cloud platforms such as **AWS, Azure, or Google Cloud**.
- In-depth knowledge of **ETL processes, data warehousing, and data lake architectures**.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
- Strong communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.

**Preferred Skills**:

- Experience with data visualization tools like Tableau or Power BI.
- Knowledge of machine learning and AI concepts.
- Familiarity with data governance frameworks and tools.
- Presales experience, including the ability to engage with clients and support sales teams in crafting data solutions.
- Experience in proposal drafting, solution designing, proposal defense & estimations.

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