{"id":1545463,"url":"https://alion.io/job/salesforce-director-of-software-engineering-data","title":"Director of Software Engineering (Data)","company":{"id":70,"name":"Salesforce","domain":"salesforce.com","url":"https://alion.io/company/salesforce","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":394,"ghost_share":0.013,"stale_share":0.586,"repost_share":0.053,"time_to_fill_p50_days":22,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":235000,"max_usd":442000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2192},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentforce","optional":false},{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Incident Management","optional":false},{"name":"Informatica","optional":false},{"name":"MuleSoft","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Apex","optional":true}],"status":"live","first_seen_at":"2026-09-30T22:06:12Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-13T01:15:14Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.\nJob Category\nSoftware EngineeringJob Details\nAbout Salesforce\nSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword - it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.\nReady to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.\nWe’re hiring a Director of Software Engineering to lead our Data Engineering team. You’ll own the technical strategy and execution for enterprise-scale data ingestion platforms that power analytics, operational workflows, ML models, AI agents and business applications across the organization.\nThis role will lead an established team of senior data engineers and drive the architecture of high-volume, high-throughput data ingestion systems. You’ll set engineering direction for data ingestion from 100+ enterprise systems into Snowflake and Data360 leveraging technologies like MuleSoft, Informatica, Spark, dbt, Iceberg, Kafka and Airflow while ensuring our data ingestion platform is scalable, reliable, governed, secure, and easy for internal teams to use.\nThis is a director-level role with direct people management responsibility for senior data engineers.\nWhat You’ll Do\nTechnical Leadership\nDefine and execute the technical strategy and roadmap for enterprise data ingestion platforms.\nArchitect, build, and operate high-volume, high-throughput batch and real-time data ingestion systems.\nLead the design of scalable data pipelines and ETL/ELT workflows using technologies such as MuleSoft, Informatica, Spark, dbt, Iceberg, Kafka and Airflow.\nDesign and optimize data models and storage architectures across Snowflake, Data360 and lakehouse environments.\nPartner with the Data Platform team to establish Apache Iceberg-based patterns for open, scalable, and interoperable data storage.\nEnsure data ingestion platforms meet enterprise requirements for availability, performance, security, observability, data quality, and disaster recovery.\nDrive platform scalability through automation, reusable frameworks, standardized ingestion patterns, and self-service capabilities.\nEstablish and enforce engineering best practices, including architecture reviews, testing, code reviews, CI/CD, documentation, and operational readiness.\nEvaluate and champion new data technologies, frameworks, and architectural patterns.\nMaintain a strong balance between strategic technical leadership and hands-on involvement in critical architectural decisions.\nPeople Management\nDirectly manage senior data engineers, providing mentorship, coaching, and career development support.\nSet clear goals and expectations, conduct regular one-on-one meetings, and lead performance and talent reviews.\nBuild a collaborative, inclusive, accountable, and high-performing engineering culture.\nDevelop technical leaders and create growth paths for senior and staff-level engineers.\nPartner with recruiting and engineering leadership to grow the team as business needs evolve.\nEstablish effective team structures, ownership models, and operating mechanisms.\nCross-Functional Collaboration\nPartner with Product, Data Platform, Architecture, Analytics, Data Science, Security, Governance, and business stakeholders to align priorities and technical direction.\nTranslate complex business and data requirements into pragmatic technical strategies and execution plans.\nRepresent Data Ingestion Platform in roadmap, investment, capacity-planning, and architecture discussions with senior leaders.\nEstablish clear service-level objectives and operating processes for support and incident management.\nCollaborate with data producers, consumers, trust and governance teams to improve data contracts, governance, lineage, discoverability, quality, and usability.\nCommunicate architectural decisions, tradeoffs, risks, and delivery progress to both technical and non-technical stakeholders.\nWhat We’re Looking For\n15+ years of data engineering experience with focus on data ingestion, including significant experience designing cloud-based data warehouse and lakehouse platforms.\n8+ years of engineering leadership and people management experience, ideally managing senior and staff-level engineers.\nProven experience architecting and operating high-volume, high-throughput enterprise data ingestion platforms.\nDeep hands-on experience with Snowflake, including data architecture, performance optimization, security, governance, and cost management.\nStrong expertise with Apache Spark for large-scale distributed data processing.\nHands-on experience designing lakehouse architectures using Apache Iceberg or comparable open table formats.\nStrong experience with Apache Kafka and event-driven, streaming-data architectures.\nDeep proficiency in SQL and at least one general-purpose programming language, preferably Python.\nStrong understanding of data modeling, distributed systems, schema evolution, data contracts, and batch and streaming processing patterns.\nProficiency with infrastructure as code and CI/CD for data workflows.\nExperience implementing enterprise data quality, metadata management, lineage, observability, access control, and governance practices.\nTrack record of establishing engineering standards and delivering reliable platforms across multiple teams.\nExperience leading complex technical programs involving multiple systems, stakeholders, and engineering teams.\nExcellent communication and stakeholder-management skills, with the ability to drive alignment across engineering and business leadership.\nNice to Have\nExperience with Salesforce data ecosystems (Data360) within a complex enterprise data ecosystem.\nExperience developing AI agents or agentic workflows for data ingestion, transformation, data quality, metadata management, or platform operations.\nExperience with agentic data ingestion architectures that can discover sources, interpret schemas, generate pipelines, detect failures, or recommend remediation.\nExperience building self-service data platforms, including reusable ingestion frameworks, developer portals, APIs, templates, and paved-road workflows.\nExperience designing platform capabilities that allow teams to onboard data sources safely without ongoing involvement from the core Data Engineering team.\nUnleash Your Potential\nWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what’s possible - for yourself, for AI, and the world.\nAccommodations\nIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.\nPlease note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.\nPosting Statement\nSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.\nIn the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.\n\nThe typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.\n\nThe range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.","description_format":"text","description_chars":10390,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketing Automation","AI Agents","Team Communication & Collaboration","Customer Support & Help Desk Software"],"lifecycle":[{"event":"open","at":"2026-09-30T22:06:12Z"}],"visa":[],"liveness":{"score":56,"band":"ok","label":"Likely open","p_open":1,"p_active":0.627,"p_room":0.9,"age_days":12,"expected_fill_days":22,"reasons":["conf:4","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/salesforce-director-of-software-engineering-data","json_url":"https://alion.io/job/salesforce-director-of-software-engineering-data.json","meta":{"generated_at":"2026-10-13T14:45:39Z","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":22658,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":70},"rest":"https://alion.io/mcp/rest/get_company?id=70"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsalesforce-director-of-software-engineering-data"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fsalesforce-director-of-software-engineering-data"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fsalesforce-director-of-software-engineering-data"},{"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/salesforce-director-of-software-engineering-data\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsalesforce-director-of-software-engineering-data"}]}