Data Architect

Job Overview:

We are seeking a highly skilled and experienced Data Architect to join our dynamic team. The ideal candidate will have a strong background in data governance, data lake architecture, and a proven track record in implementing and optimizing data solutions on cloud platforms.

Key Responsibilities:

Data Governance:

Develop and implement robust data governance policies and procedures.
Establish and maintain metadata repositories for effective data management.
Oversee data quality management processes, including profiling, cleansing, and monitoring.
Data Lake:

Design and implement scalable data lake architectures to meet business needs.
Integrate diverse data sources into the data lake, ensuring data consistency and accessibility.
Implement security measures and ensure compliance standards within the data lake environment.
Cloud Platform Experience:
Utilize expertise in [Cloud Provider] to design and implement cloud-based data solutions.
Leverage cloud data services such as [Examples: AWS Glue, Azure Data Factory, Google Cloud Dataflow].
Optimize data architectures for scalability, elasticity, and cost-effectiveness.
Data Measures:

Define and measure key performance indicators (KPIs) for data architectures.
Apply data modeling techniques to design efficient and effective data structures.
Implement continuous monitoring and optimization of data processes for improved performance.

Qualifications:
B.E/B.Tech/M.C.A/MSc (preferably in Computer Science/IT).
8 years of proven experience as a Data Architect.
Strong expertise in data governance, data lake architecture, and cloud platforms.
In-depth knowledge of [Cloud Provider] services and solutions.
Proficiency in data modeling and performance optimization techniques.
Excellent problem-solving and communication skills.

Preferred Skills:

Certification in [Relevant Certification, e.g., AWS Certified Solutions Architect, Azure Data Engineer].
Experience with [Specific Technologies or Tools, e.g., Apache Hadoop, Spark].