Data Architect
3 weeks ago
LTIMindtree is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability or any other characteristic protected by applicable law.
We are Hiring for Data Architect
Experience: 12 to 17 years
Location: Mumbai/Pune/Bangalore/Chennai/Hyderabad
Primary: Microsoft Fabric, Azure Data Lake, ADF experience
Job Description:
10 years of experience as a Data Platform Architect with demonstrated expertise in designing managing and optimizing data warehouses lakes and lakehouses.
Proven experience with Microsoft Fabric .
Proficiency with data storage formats such as Parquet as well as storage layers like Delta Lake and other transactional storage solutions
Indepth knowledge of data technologies including Databricks and similar platforms
Experience with data integration and ETL tools such as Azure Data Factory Talend Ab Initio or equivalent
Advanced SQL skills and solid expertise in database design principles
Experience in data modeling particularly in data warehouse and lakehouse design
Knowledge of the Azure Cloud Platform especially in relation to data warehousing and storage solutions
Background in data integration and engineering including familiarity with data pipelines and storage optimization
Strong grasp of data governance data security and compliance requirements
Problemsolving skills with a track record of resolving complex technical issues
Excellent communication skills capable of conveying technical concepts to both technical and nontechnical stakeholders
Ability to work independently and as part of a collaborative team
Microsoft certifications in datarelated fields are preferred
Responsibilities
Design and implementcreate data warehouse and lakehouse solutions using Microsoft Fabric and related technologies leveraging storage formats like Parquet and storage layers such as Delta Lake
Develop and deploy data integration solutions including data ingestion transformation and delivery to consumers within Microsoft Fabric while utilizing optimal storage formats and layers
Ensure data accuracy consistency and integrity across the data warehouse ecosystem by crafting robust solution designs
Collaborate closely with data analysts architects engineers and client stakeholders to gather requirements and translate them into scalable Microsoft Fabric solutions that support analytics and reporting via BI tools
Architect solutions that incorporate BI tools like Power BI and Tableau ensuring seamless data integration for analytics and reporting
Partner with data governance experts to implement data governance best practices including data security privacy and compliance
Create and maintain comprehensive documentation covering Data Fabric architecture processes and procedures
Stay updated with advancements in data platform technologies particularly Microsoft Fabric and reflect these innovations in solution designs.
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