Data Architect
4 weeks ago
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies.
As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world.
Our team of talented and entrepreneurial professionals across more than 30 countries combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale.
For more information, please visit www.ltimindtree.com.
Data Architecture/Security Expert
Responsibilities
- Understand data confidentiality, security, compliance needs and apply data protection rules including data sharing, filtering, and fencing at storage, compute, and consumption layers.
- Design data protection solutions at database, table, column level and APIs based on enterprise standard data security, privacy, architecture principles and reference architectures.
- Design the structure and layout of data systems, including databases, warehouses, and lakes.
- Select and implement database management systems that meet the organization's needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures.
- Deliver exceptional business value by enhancing data pipeline performance, ensuring timely orchestration, and upholding data governance.
- Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards.
- Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps.
- Leads and participates in the peer review and quality assurance of project architectural artifacts.
- Defines and manages standards, guidelines, and processes to ensure data quality.
- Works with IT teams, business analysts, and data analytics teams to understand data consumers' needs and develop solutions.
- Evaluates and recommends emerging technologies for data management, storage, and analytics.
Requirements
- A bachelor's degree in computer science, data science, engineering, or related field.
- At least five years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives.
- Experience leading projects involving data lakes, data warehousing, data modeling, and data analysis.
- Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Redshift, Snowflake, Databricks).
- Experience with various database platforms, including DB2, MS SQL Server, PostgreSQL, Couchbase, MongoDB, etc.
- Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques.
- Ability to assess traditional and modern data architecture components based on business needs.
- Experience with business intelligence tools and technologies such as Informatica, Power BI, and Tableau.
- Exceptional communication and presentation skills.
- Strong analytical and problem-solving skills.
- Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders.
- Ability to guide solution design and architecture to meet business needs.
Benefits and Perks:
- Comprehensive Medical Plan Covering Medical, Dental, Vision.
- Short Term and Long-Term Disability Coverage.
- 401(k) Plan with Company match.
- Life Insurance.
- Vacation Time, Sick Leave, Paid Holidays.
- Paid Paternity and Maternity Leave.
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Safe return to office:
In order to comply with LTIMindtree's company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree's COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree's applicable processes.
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