Architect for Data management (DQ, lineage, dictionary)

Tech Mahindra•Verona, NJ

28d•$130,000 - $140,000

About The Position

Architect for Data management (DQ, lineage, dictionary) No of Position: 1 Location: NYC, NY (Fulltime Prefer) An architect for data management (dq lineage, dictionary) needs a combination of technical and soft skills, including expertise in data modeling, database management, metadata management, and ETL processes. They must also possess strong problem-solving, communication, and leadership abilities to design and implement data management frameworks. Need a strong candidate for Data management expert Technical skills Data modeling: The ability to design and create visual representations of data assets and their relationships. Database management: Proficiency with different database technologies (SQL, NoSQL) and relational database management systems. Metadata management: A strong understanding of data lifecycle management and how to apply metadata principles across an organization's data. ETL (Extract, Transform, Load): Experience in designing and improving ETL processes and data pipelines. Data warehousing and Big Data: Knowledge of data warehousing, data lakes, and big data technologies like Hadoop. Cloud computing: Familiarity with cloud-based data solutions and architectures. Data lineage and dictionary: Specific experience in mapping data flows and building comprehensive data dictionaries. The pay range for this role is $130k - $140k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate. Thanks & Regards Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected].”

Requirements

Data modeling: The ability to design and create visual representations of data assets and their relationships.
Database management: Proficiency with different database technologies (SQL, NoSQL) and relational database management systems.
Metadata management: A strong understanding of data lifecycle management and how to apply metadata principles across an organization's data.
ETL (Extract, Transform, Load): Experience in designing and improving ETL processes and data pipelines.
Data warehousing and Big Data: Knowledge of data warehousing, data lakes, and big data technologies like Hadoop.
Cloud computing: Familiarity with cloud-based data solutions and architectures.
Data lineage and dictionary: Specific experience in mapping data flows and building comprehensive data dictionaries.