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Location: Hyderabad; Bengaluru, India
Accellor is an AI-native services firm focused on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. We help global innovators and Fortune 100 enterprises modernize their architectures, scale operations, and operationalize intelligence across the enterprise.
Our core focus centers on transforming advanced AI from proofs-of-concept into production-grade systems. Spanning AI solutions, robust data services, enterprise applications, and product engineering — we tailor our offerings to the distinct operational needs of industries such as healthcare, life sciences, telecom, retail, financial services, and technology.
Operating as an extension of our clients' teams, we combine design thinking with technology-agnostic architectures to ensure faster time-to-value and seamless system interoperability. From initial strategy to full-scale deployment, we build intelligent, connected ecosystems that drive sustained enterprise value and redefine the future of transformation.
Job Description:
About the role
Accellor is hiring a Senior Data Architect for its global AI & Data practice — a hands-on leader who designs and delivers enterprise-scale data platforms and pipelines for Fortune 500 and large global enterprises, and can engage credibly with a client's senior architects as a technical peer. This is a 60/40 delivery-to-pre-sales role: you will own technical architecture on active engagements while anchoring solutioning, proposals, and technical discovery on new pursuits. We are platform-agnostic — you will work across Databricks, Snowflake, and Microsoft Fabric on Azure, AWS, and GCP, adapting to each customer's stack. Our engagements operate to Fortune 500 standards: security, data governance, and regulatory compliance are integral to every architecture discussion, and you will be expected to lead at that level.
Key responsibilities
Delivery
Architect and build end-to-end data platforms for large enterprise customers: ingestion, lakehouse/warehouse modeling, transformation pipelines, orchestration, and serving layers for BI and AI/ML workloads
Lead delivery teams of data engineers — set technical direction, review designs and code, and own quality of what ships
Design for enterprise realities: data governance, lineage, security, cost optimization, and SLAs at scale
Build AI-ready data foundations — pipelines and semantic layers that feed RAG, agentic, and ML use cases
Pre-sales and solutioning
Lead technical discovery and architecture conversations with customer-side senior/enterprise architects, CISOs, and CDOs — including deep scrutiny on security, governance, and compliance — as a peer, not a presenter
Own the technical solution in proposals and RFP responses: target architecture, migration approach, effort estimates, and staffing shape
Build and demo PoCs/accelerators that de-risk the sale
Shape platform selection discussions (Databricks vs Snowflake vs Fabric) with defensible, customer-specific recommendations
Requirements:
Must-have qualifications
15+ years in data engineering/architecture, with 4+ years architecting data platforms for Fortune 500 or comparable large enterprise customers in a consulting or services environment
Deep hands-on expertise in at least one of Databricks, Snowflake, or Microsoft Fabric — certification preferred — with working familiarity across the others
Strong pipeline engineering: Spark, SQL, Python; orchestration (Airflow/ADF/dbt or equivalent); batch and streaming patterns; CDC and large-scale migrations
Cloud depth on at least one of Azure, AWS, or GCP — networking, identity, and cost levers as they apply to data platforms
Proven pre-sales exposure: has led technical conversations with customer senior architects, contributed to proposals/RFPs, and defended estimates and architecture choices
Strong grounding in data modeling (dimensional, data vault, medallion/lakehouse) and data governance (catalogs, lineage, access control)
Clear communicator — can translate between engineering teams and CXO/architect audiences
Good to have
Multi-platform certifications (e.g., Databricks + Snowflake, or Fabric DP-600/700)
Experience building data foundations for GenAI/agentic workloads — vector stores, unstructured pipelines, semantic layers
Exposure to regulated or government environments (data residency, audit, compliance)
Experience with Middle East or US enterprise customers; willingness to travel for client workshops
Why Accellor
Accellor is an enterprise AI and digital engineering firm serving large customers across the US, Middle East, and India. The AI & Data practice is growing fast — you will join a certified, multi-platform team working on agentic AI and data platform engagements for enterprise and government clients, with direct access to practice leadership and a clear path to shaping how the practice delivers.
Benefits
Exciting Projects:
We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment:
You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres.
Work-Life Balance:
Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development:
Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits:
We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Disclaimer: -
Accellor is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic
Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.
Most IT Jobs posts in Hyderabad ask for 3–6 years of experience (48% of 1424 that say).
From live job posts on CoreHRx, updated 12 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹25L a year (typical for IT Jobs in India, 825 posts).
It is a remote job, listed under Hyderabad, Bangalore.
It is a full time job.
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