{"id":4199694,"url":"https://alion.io/job/deloitte-senior-consultant-snowflake-quality-engineering","title":"Senior Consultant - Snowflake Quality Engineering","company":{"id":272,"name":"Deloitte","domain":"deloitte.com","url":"https://alion.io/company/deloitte","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":12,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-11-12T10:38:37Z"}},"role":"QA","role_family":"QA","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Incident Management","optional":false},{"name":"Informatica","optional":false},{"name":"Least Privilege","optional":false},{"name":"Matillion","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-12T21:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-12T21:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Your work profile:\n\nThe Snowflake quality data engineer is responsible for managing client relationships and overseeing the successful delivery of programs or accounts. This role serves as the primary point of contact between the organization and its clients, ensuring alignment of goals, timelines, budgets, and expected outcomes while driving client satisfaction and business growth.\n\nKey Skills & Competencies:\n5 to 8 years of substantial hands-on experience delivering production-grade Snowflake platforms and complex data engineering solutions at enterprise scale.\nAdvanced SQL expertise, including complex transformations, query profiling, performance diagnosis, and optimization of high-volume workloads.\nStrong Python engineering skills for reusable data-processing components, automation, API integration, testing, and operational tooling.\nDemonstrated experience designing and operating ELT/ETL and orchestration solutions using tools such as dbt, Airflow, Informatica, Matillion, Fivetran, Talend, Azure Data Factory, or AWS Glue.\nStrong experience with at least one cloud ecosystem: AWS (S3, Glue, Lambda, EMR), Azure (ADLS Gen2, ADF, Synapse, Databricks), or GCP (GCS, Dataflow, Dataproc, Pub/Sub).\nProven capability in data modelling, incremental processing, schema evolution, data quality, metadata/lineage, and production support.\nExperience implementing CI/CD, automated testing, Git-based development workflows, infrastructure as code, and secure cloud engineering practices.\nAbility to lead technical discussions, make architecture trade-offs explicit, communicate risks, and guide engineers through complex delivery challenges.\nExperience with Snowflake cost governance, resource monitors, workload isolation, account-level controls, and platform usage analytics.\nExposure to Snowflake performance features and advanced platform patterns, including dynamic data refresh, secure sharing, and cross-environment promotion.\nExperience with Databricks, Kafka, event-driven architectures, Data Vault 2.0, or enterprise Lakehouse patterns.\nWorking knowledge of data governance and privacy controls, including catalogues, lineage, RBAC, masking, and regulatory requirements.\nExposure to AI/ML and GenAI data platforms, feature/data preparation, vector-search patterns, or RAG pipelines.\nBanking and Financial Services experience, including regulated data environments, is an advantage.\nSnowPro Advanced or relevant cloud/data engineering certifications.\n\nResponsibilities:\nOwn the technical design and implementation of complex Snowflake data solutions, including ingestion patterns, transformation layers, data models, workload design, and platform integration.\nDesign robust batch, incremental, and near-real-time ELT/ETL pipelines for structured and semi-structured data using Snowflake, SQL, Python, and enterprise integration/orchestration tools.\nSelect and implement appropriate Snowflake capabilities, including Snowpipe, Streams and Tasks, Dynamic Tables, External Tables, Time Travel, Zero-Copy Cloning, and secure Data Sharing, based on workload and architectural requirements.\nEstablish reusable data engineering patterns, framework components, naming conventions, quality code standards, testing approaches, and deployment practices.\nLead advanced data modelling and transformation design across dimensional models, data marts, and, where relevant, Data Vault or Lakehouse patterns; guide adoption of dbt or equivalent tooling.\nEngineer secure integrations across Snowflake and AWS, Azure, or GCP services, addressing data movement, reliability, identity, networking, and operational considerations.\nDrive query and workload optimization through execution-plan analysis, warehouse sizing, workload isolation, caching, clustering, and monitoring; identify and implement cost optimization opportunities.\nDefine and implement production-grade observability, data quality, reconciliation, lineage, alerting, incident management, disaster recovery, and service-level controls.\nSet platform security and governance implementation patterns, including RBAC, least-privilege access, masking, secure data sharing, secrets management, and auditability.\nLead code reviews, technical design reviews, testing strategy, CI/CD implementation, and infrastructure-as-code practices using Git and tools such as Terraform.\nPartner with architects, product owners, business stakeholders, analytics teams, and platform/security teams to shape requirements, assess trade-offs, and convert them into scalable solutions.\nMentor engineers, unblock complex technical issues, review deliverables, and contribute to estimation, delivery planning, technical risk management, and continuous improvement.\n\nPreferred Qualifications:\nBachelor's or Master's degree in computer science, Engineering, Information Systems, or a related discipline.\nRelevant professional experience demonstrates both hands-on technical depth and ownership of complex data engineering outcomes.\n\nSuccess Metrics:\nStrong experience with at least one cloud ecosystem: AWS (S3, Glue, Lambda, EMR), Azure (ADLS Gen2, ADF, Synapse, Databricks), or GCP (GCS, Dataflow, Dataproc, Pub/Sub).\nLead code reviews, technical design reviews, testing strategy, CI/CD implementation, and infrastructure-as-code practices using Git and tools such as Terraform.\nDesign robust batch, incremental, and near-real-time ELT/ETL pipelines for structured and semi-structured data using Snowflake, SQL, Python, and enterprise integration/orchestration tools.\nProven capability in data modelling, incremental processing, schema evolution, data quality, metadata/lineage, and production support.\nAdvanced SQL expertise, including complex transformations, query profiling, performance diagnosis, and optimization of high-volume workloads.\nStrong Python engineering skills for reusable data-processing components, automation, API integration, testing, and operational tooling.\nDemonstrated experience designing and operating ELT/ETL and orchestration solutions using tools such as dbt, Airflow, Informatica, Matillion, Fivetran, Talend, Azure Data Factory, or AWS Glue.\nLead advanced data modelling and transformation design across dimensional models, data marts, and, where relevant, Data Vault or Lakehouse patterns; guide adoption of dbt or equivalent tooling.\n\nLocation and way of working:\nBase location: Hyderabad\nThis profile involves occasional travelling to client locations.\nHybrid is our default way of working. Each domain has customized the hybrid approach to their unique needs.\nSkills\nPython, SQL, Snowflake","description_format":"text","description_chars":6558,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-11-12T21:35:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":12,"reasons":["seen:0","win:early","comp:brand"],"computed_at":"2026-11-13T01:21:17Z"},"pay":null,"html_url":"https://alion.io/job/deloitte-senior-consultant-snowflake-quality-engineering","json_url":"https://alion.io/job/deloitte-senior-consultant-snowflake-quality-engineering.json","meta":{"generated_at":"2026-11-13T01:21:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2967,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":272},"rest":"https://alion.io/mcp/rest/get_company?id=272"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdeloitte-senior-consultant-snowflake-quality-engineering"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdeloitte-senior-consultant-snowflake-quality-engineering"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdeloitte-senior-consultant-snowflake-quality-engineering"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/deloitte-senior-consultant-snowflake-quality-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdeloitte-senior-consultant-snowflake-quality-engineering"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4199694}},{"tool":"search_jobs","arguments":{"company":"deloitte.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4199694},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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