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Senior Data Architect
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Role description
Job Role Senior Data Architect
Location Sarasota FL Remote
Experience 15 years
Role Summary
We are seeking a Senior Data Architect to provide an independent thirdparty perspective on an ongoing enterprise Data Modernization program The role focuses on architecture assurance risk mitigation and acceleration of platform adoption ensuring alignment with enterprise scale best practices and longterm strategic goals
The architect will work independently with client stakeholders and multiple vendor teams validating decisions challenging assumptions and guiding the program toward a scalable secure and futureready lakehouse architecture on Databricks
Key Responsibilities
1 Architecture Advisory Independent Review
Provide objective thirdparty evaluation of the current data platform architecture design choices and implementation approach
Review and validate lakehouse architecture including ingestion transformation storage and consumption layers
Identify gaps design risks and antipatterns across the platform
Recommend alternative approaches and tradeoffs aligned to enterprise standards
2 Data Modernization Strategy Alignment
Assess alignment to modern data platform paradigms Lakehouse ELT Medallion architecture
Validate architectural decisions around
oData ingestion patterns batch streaming unstructured data integration
oData modeling and transformation strategies
oAnalytics and AIML readiness of the platform
Ensure consistency with enterprisescale governance security and performance requirements
3 Risk Identification Derisking
Proactively identify technical architectural and operational risks impacting delivery timelines and scalability
Conduct design reviews and provide mitigation strategies and decision frameworks
Flag dependencies constraints and potential longterm impacts of current design choices
Support leadership with architecture risk summaries and decision recommendations
4 MultiVendor Stakeholder Engagement
Work independently with
oCustomer architects and SMEs
oInternal delivery teams
oThirdparty vendors
Facilitate architecture discussions workshops and governance reviews
Act as a neutral technical authority to resolve architectural conflicts and drive consensus
5 Best Practices Governance
Define and enforce architecture standards design patterns and guardrails
Ensure adoption of
oDatabricks and Spark best practices
oData governance frameworks including cataloging access control and auditing
oPerformance cost optimization and scalability standards
Provide guidance on DataOps DevOps practices and observability frameworks
6 Acceleration Program Support
Identify opportunities to accelerate delivery and remove bottlenecks
Guide teams in prioritizing architectural decisions that unlock progress
Support roadmap refinement for phased platform evolution
Required Experience Skills
Experience
14 years in data engineering data architecture or analytics platform engineering
Proven experience in enterprise data modernization or cloud migration programs
Strong background in Databricksbased lakehouse implementations at scale
Technical Skills
Deep expertise in
oDatabricks platform architecture
AWS cloud
oApache Spark PySpark SQL
oDelta Lake and lakehouse design patterns
Strong understanding of
oData ingestion and ELT frameworks
oData governance and cataloging approaches
oPerformance optimization and distributed systems
Advisory Leadership Skills
Ability to operate independently as a trusted advisor in a complex multivendor environment
Strong stakeholder management and executive communication skills
Proven capability to challenge existing designs constructively and drive consensus
Strong analytical and problemsolving mindset
Key Differentiators for This Role
Focus on independent assurance rather than delivery ownership
Requires consultative mindset combined with deep architectural expertise
Strong emphasis on
oRisk mitigation
oDecision validation
oCrossteam alignment
Ability to influence outcomes without direct team ownership
Nice to Have
Experience in insurance or regulated industries
Exposure to BIanalytics transformation tools
Prior experience in architecture governance boards or external advisory roles
Skills
Mandatory Skills : Databricks
Other details
Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual''s skills, experience, performance and internal equity.
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):
Benefits and Perks:
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.
Benefits
Compensation range: $ 110,000.00 to 160,000.00 per year
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About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/
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