
Senior Specialist - Data Engineering
Role summary
Seeking a Senior Data Architect with 7-15 years of experience to design and implement scalable data architectures, focusing on Lakehouse concepts using Databricks. The role requires advanced skills in Apache Spark, Delta Lake for building optimized ETL pipelines, and expertise in real-time batch data streaming. Strong capabilities in data modeling, governance, schema design, and compliance are essential. This onsite position in New York requires EST time zone overlap and involves client interactions, driving data modernization programs, and mentoring engineers. Insurance or Financial Services domain knowledge is preferred.
Role description
Role Senior Data Architect
Primary Skill Senior Data Architect
Experience in Years 7-15 years
Location USA New York EST Time Zone
Must Have Skills
Lakehouse Architecture Mastery Understanding how Databricks unifies data lakes and warehouses is foundational Capable of Designing a scalable architecture that supports both BI and ML workloads
Advanced Apache Spark Delta Lake Engineering Should be capable of Building optimized ETL pipelines with Delta tables for realtime analytics
RealTime Batch Data Streaming Ability to handle structuredunstructured data streams at scale
Data Modeling Governance Strong skills in schema design metadata management and compliance
Secondary Nice To Have Skills NOT MANDATORY
Programming Proficiency Python SQL Scala for pipeline development
Data Pipeline Design Orchestration with tools like Airflow or Azure Data Factory
Soft Skills Leadership Communicating architecture decisions mentoring engineers
Reliability Practices Monitoring observability and disaster recovery planning
Soft Skills
oStrong written and oral communication skills critical for onsite client interactions
oAbility to collaborate effectively with client stakeholders business users and technical teams
oInsurance or Financial Services domain knowledge preferred
oExpertise in Requirement Review Work Effort Estimation and Risk Management
oStrong leadership skills to drive data modernization programs endtoend
3 Qualifying Questions
61Do you have 7 years of experience in data architecture with hands on involvement in Databricks Lakehouse or modern data platform implementations
2THave you worked extensively with Apache Spark Delta Lake and batchreal time data pipelines in cloud based data platforms
3Are you willing to work from the customer location in New York and maintain EST time zone overlap with offshore teams
Other details
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):
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.
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